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30 Best Python Projects Beginner to Pro With Code [2024]

If I could go back in time to help my younger self learn Python, I'd tell them to build more Python projects!

That's exactly why I wrote this article: to share 30 Python projects to help programmers like you.

Whether you’re looking to start a career in Python development or enhance your portfolio, these Python projects are perfect for leveling up your Python skills.

I’ve personally designed each of these Python projects, including a range of step-by-step tutorials so you can follow along with me to get hands-on and code some cool stuff.

You can think of these tutorial projects as taking a free Python course while growing your Python portfolio!

I'm also regularly adding new Python projects with step-by-step tutorials, so make sure you bookmark this page and check back for the latest Python projects to grow your skills.

Without further ado, let’s dive in and start building with Python!

Plus, if you're looking for some extra help, I've also released my own course, Python with Dr. Johns , where I take an academic approach to teaching while also building portfolio-worthy Python projects.

• Best Python Projects for Beginners in 2024

1. Python Hangman Game with GUI

What is this Python project?

In this Python project, you'll build a Hangman game, an engaging and fun game that challenges users to guess words letter by letter.

I've also designed this project to be a step-by-step tutorial so you can follow along with me to build something very cool and fun!

This project also goes beyond merely creating a functional application; it serves as an excellent example of utilizing Python's simplicity and the Tkinter library to create interactive and visually appealing desktop applications.

It's also a perfect addition to your portfolio, particularly if you're looking to demonstrate your proficiency in Python development, as it showcases fundamental programming concepts in a context that's interactive while also showing your understanding of user interface design and event-driven programming.

So get ready and fire up your favorite Python IDE , and let's get building!

Python Skills Covered:

• Game Logic: Craft the core logic for processing guesses, managing game states, and determining win or loss conditions, offering a deep dive into conditional statements and data structures.
• Dynamic UI Updates: Utilize Tkinter to dynamically update the game interface, reflecting the progress of the game and user interactions in real-time, thus enriching the user experience.
• Event Handling: Employ event listeners to capture user inputs such as letter guesses and actions to restart or exit the game, showcasing how to interact with GUI elements in Python.
• User Interface Design: Use Tkinter to design a clean, intuitive interface for the Hangman game, demonstrating skills in creating visually appealing and user-friendly desktop applications.
• Tkinter and Python Basics: Harness the power of Python and its standard GUI toolkit, Tkinter, to implement and manage the game's interface.
• Best Practices in Python: Write clean, efficient, and well-documented Python code, adhering to best practices for code structure, readability, and maintainability.

Build This Python Project Here

2. Mad Libs Generator 

This is one of the most fun beginner Python projects, not to mention it lets you practice how to use strings, variables, and concatenation, which are essential skills for all Python applications at all skill levels.

The Mad Libs Generator gathers and manipulates user input data as an adjective, a pronoun, and a verb. The program takes this data and arranges it to build a story.

Source Code:

3. Number Guessing 

This beginner Python project is a fun game that generates a random number (in a certain range) that the user must guess after receiving hints. For each wrong guess the user makes, they receive extra hints but at the cost of worsening their final score.

This program is a great way to experiment with the Python standard library, as it uses the Python random module to generate random numbers. You can also get some hands-on practice with conditional statements, print formatting, user-defined functions, and various Python operators .

4. Rock Paper Scissors

This Rock Paper Scissors program simulates the universally popular game with functions and conditional statements. So, what better way to get these critical concepts under your belt? You'll also be using the Python list to store a collection of valid responses, which you can then use to create an elegant and Pythonic conditional statement.

As one of many Python coding projects that imports additional libraries, this program uses the standard library’s random , os , and re modules.

Take a look at the code below, and you’ll see that this Python project idea asks the user to make the first move by passing in a character to represent rock, paper, or scissors. After evaluating the input string, the conditional logic checks for a winner.

5. Dice Roll Generator

As one of the most relatable Python projects for beginners with code, this program simulates rolling one or two dice. It’s also a great way to solidify your understanding of user-defined functions, loops, and conditional statements. These are fundamental skills for Python beginners and are likely to be some of the first things you’d learn, whether that’s from an online course or a Python book .

As one of our easy Python projects, it’s a fairly simple program that uses the Python random module to replicate the random nature of rolling dice. You’ll also notice that we use the os module to clear the screen after you’ve rolled the dice.

Note that you can change the maximum dice value to any number, allowing you to simulate polyhedral dice often used in many board and roleplaying games.

6. Password Strength Checker

If you fancy learning how to create an app , this Python project could be a great addition, as it lets you check whether your password is strong enough.

It does this by checking the number of letters, numbers, special characters, and whitespace characters within a given password and generating a score based on these results. So, it’s another great way to learn about conditional statements, functions, and string formatting.

We also use the string and getpass modules from the Python standard library. This allows us to access the full range of string characters to compare with our password’s character composition, while the .getpass() function lets us hide our password when we enter it.

7. Number to Words

This Python project idea converts an integer number provided via user input to its equivalent words. This program is set up to support numbers with a maximum of 12 digits, but feel free to modify the program to handle larger numbers (hint: requires conditional statements and loops).

As an easy-to-understand example of basic Python projects, this simple but effective program can expand your skills with loops, user input, and conditional statements, not to mention Python tuples and lists.

You’ll also be able to experiment with some mathematical operations that may be new to you like the modulo (%) operator to return the remainder from integer division.

If any of these techniques are new to you, you might consider installing an AI coding assistant in your Python IDE to help offer help with any code blocks you find challenging to understand.

8. Tic-Tac-Toe Game

Tic-Tac-Toe is a classic two-player game that involves a nine-square grid. Each player alternately marks their space with an O or an X, and whichever player manages to mark three Os or Xs diagonally, horizontally, or vertically wins. Each player must also block their opponent while attempting to make their chain.

This is a really fun Python project that’s unique for beginners, as it uses object-oriented programming. 

This is one of the most essential Python concepts to learn, and in this project, you will create a new class called TicTacToe. We’ll then use this to represent the game's features via the class attributes and methods.

Carefully study these methods to see how we can use object-oriented programming to neatly package the various behaviors needed to simulate this game.

Some new aspects of this Python project idea for beginners include nested loops to check the grid's columns, rows, and diagonals for a winning state, along with the Python set data type, which is used to contain unique values. This program also uses the Python random module to select a random player to start the game, but this is more familiar to you now.

9. Calculator

Another of our easy Python projects, this program creates a basic calculator application with addition, subtraction, multiplication, and division functions.

This is one of the Python practice projects that are great for learning how to use loops, functions, conditional statements, user input, and string formatting. We’ve also used the Python os module to clear the screen after the user completes their calculation actions.

Once you have the concepts under your belt with this project, consider ways to extend the features to include exponentiation or other more complicated calculations.

If you’re already using an AI coding assistant like GitHub Copilot or Amazon CodeWhisperer , you could also consider experimenting with this to add new features. Try to do it yourself first though!

Sample Code:

10. Countdown Clock and Timer

This Python project idea is fun! Here, we’ve created a countdown timer that asks the user for a number of seconds via user input, and it then counts down, second by second, until it displays a message.

We’ve used the Python time module’s .sleep() function to pause for 1-second intervals. We combine this with some nifty string formatting to produce the countdown display.

• Intermediate Python Projects With Source Code

11. Binary Search Algorithm

It’s a rite of passage for all aspiring coders to tackle Binary Search in one of their Python programming projects at some point! I know when I was starting out, some of my most common Python mistakes involved classic algorithms like this.

This Python project for binary search takes in a sorted list (array), then continually compares a search value with the middle of the array.

Depending on whether the search value is less than or greater than the middle value, the list is split (divide and conquer strategy) to reduce the search space, which hones in on the given search value. This continual division results in logarithmic time complexity.

If you look at the code below, you’ll see that we’ve implemented two solutions: conditional loops and recursion. Both approaches are elegant, so feel free to experiment with each.

If you’re new to recursion, this is a great introduction as it demonstrates how we ‘reduce’ the size of the problem with each recursive call, namely by splitting the list to one side of the current middle element.

We’ve also defined the recursive base case as the point when the middle element equals the search element. In this case, the recursion will stop and return the True value up through the call stack.

If this all sounds alien to you, consider using something like GitHub Copilot to make more sense of this classic algorithm.

12. Merge Sort Algorithm

Merge Sort is another popular coding challenge faced by aspiring coders when looking for things to do in Python.

This divide-and-conquer strategy uses division to separate a list of numbers into equal parts, and these are then recursively sorted before being recombined to generate a sorted list.

If you’ve just completed the Binary Search example, you might notice some similarities with division and reducing a problem’s size. You’d be right, which means you’ve likely realized we need to use recursion.

This Python implementation of Merge Sort uses recursion to handle the divide and conquer process. The continual reduction of the problem size allows the problem to be solved when the recursive base case is reached, namely when the problem size is one element or less.

In essence, this Python program continues to recursively divide the list until it reaches the base case. At this point it begins sorting the smaller parts of the problem, resulting in smaller sorted arrays that are recombined to eventually generate a fully sorted array. If you’re familiar with Big O notation, you’ll be curious to know that Merge Sort has a Big O of (n logn).

13. Password Generator

This is an interesting Python project that uses the secrets and string modules to generate a strong and secure password, much like you can with popular password managers.

The string module obtains all possible letters, digits, and special characters, while the secrets module allows us to obtain cryptographically secure passwords.

The code for this project is relatively simple as it uses a loop to continually generate passwords until it contains at least one special character and two digits. You can, of course, modify this to fit your own super-strong password rules!

14. Currency Converter

This is one of several Python project ideas that require us to install one of the most popular Python libraries , which in this case, is the requests module. This is not included with the Python standard library, so use the pip command shown in the source code to install it on your system.

With the requests module, we can make HTTP requests to the Fixer API, allowing us to convert one currency to another. You’ll likely notice that we’re using a 3rd party API, so you’ll need to sign up to get a free API key . You can then enter your API key into the field shown in the source code, and you’ll be ready to go!

This project allows you to gain some more practice with loops and user input, but it expands on this with HTTP requests to retrieve API data in JSON format.

If you’re unfamiliar with JSON, it’s very similar to a Python dictionary, meaning we can access key-value pairs to fetch the data we’re after. In this case, we are looking for the currency conversion result from the API call.

Look at the docs on the Fixer API site for more details on the different data you can retrieve.

15. Automatic Birthday Mail Sending

This Python project uses the standard smtplib , EmailMessage, and datetime modules, in addition to pandas and openpyxl (these need to be pip installed, as shown below) to send automated birthday emails.

This program reads from an Excel sheet that contains all of your friends’ details (see Excel sheet format in source code below). It then sends them an email if today is their big day before making a note in your spreadsheet to say they’ve received their email.

We’ve used the smtplib and EmailMessage modules to create an SSL connection to our email account and message. We’ve then used a pandas dataframe to store spreadsheet-style data within the Python program (an essential skill for data scientists). Finally, we used date formatting with the datetime module’s .strftime() function.

So, lots of new skills to get to grips with!

Important note: since May 2022, Google has tightened its restrictions on ‘less secure apps’ accessing Gmail. You’ll need to follow some extra steps to use this code with your Gmail account. But don’t worry, they’re easy to do, and we’ve listed them for you.

• Go to the ‘manage account’ page for your google account
• Click on Security
• Enable 2FA (use whichever method you prefer)
• Click on ‘App Passwords’
• Click on ‘Select App’ and select ‘Mail’
• Click on ‘Select Device’ & select ‘Other (custom name)’, enter ‘Python Birthday App’
• Click on ‘Generate’ then save this password

You can now use this app password in the code below to access your Gmail account with no trouble!

This Python project creates a new class to implement a Queue . This is a common data structure in computer science when you need to handle First-In-First-Out (FIFO) scenarios, such as message queues, CPU tasks, etc.

The code is straightforward and offers some more practice with object-oriented programming. Test out the queue to get your head around how it works, and then you’ll be ready to use this data structure in your other projects.

17. Pascal’s Triangle

This Python project prints out Pascal’s Triangle using conditional statements and loops. It also uses the standard library’s math module and factorial function to evaluate the ‘number of combinations’ equation used to generate the values in the triangle.

Experiment with the seed number for the triangle to examine how the ‘combinations’ equation is used to generate successive values in the triangle. 

18. Blackjack

As one of the coolest Python projects, this will appeal to anyone who enjoys card games, as we will emulate Blackjack. This is a super popular card game with relatively simple rules: the most important being you need 21 to win, or you need a higher score than the dealer without going bust!

This is the largest project on the list so far. It combines most of the skills we’ve already covered in previous projects, including creating classes, loops, conditional statements, importing modules, accepting user input, and string formatting.

Take your time to work through the different sections of this code, and relate it to the earlier projects to see how the different techniques work together. There’s nothing you haven’t seen before; it’s just been packaged slightly differently and combined to create a fully functional game emulator.

And we should say, try not to spend all day playing with it! But we totally understand if you do!

19. Reddit Bot

This Python project creates an automated Reddit bot with some new modules, namely praw and enchant (see the pip install commands).

This is a fairly simple concept as the program checks every comment in a selected subreddit and then replies to any comments that contain a predefined ‘trigger phrase’. To do this, we use the praw module to interact with Reddit, and enchant to generate similar words to the comment, allowing us to make an appropriate reply.

This idea is really useful if you’re looking for Python projects to learn how to answer questions in your own subreddit. You’d just need to expand this code to include automated responses for predefined questions (you’ve probably already noticed this being used by others on Reddit!). 

Important note: You’ll need to check out these instructions to get hold of a client_id, client_secret, username, password, and user_agent. You’ll need this information to make comments to Reddit via the API interface.

20. Fibonacci Generator

The Fibonacci numbers may be some of the most important numbers in our lives as they appear so often in nature.

The Python code below generates the Fibonacci numbers up to a certain length using recursion (yes, more recursion!). To stop the computation times from getting out of hand, we’ve implemented memoization to cache values as we calculate them.

You’ll notice that for this recursive algorithm, the base case is set to check whether the given Fibonacci sequence value is already stored in the cache. If so, it returns this (which is a constant time complexity operation), which saves a tremendous amount of computation time.

• Advanced Python Project Ideas

21. Chatbot

This Python project uses the chatterbot module (see pip install instructions below) to train an automated chatbot to answer any question you ask! I know; we’re now using AI!

You’ll see that the program is one of the relatively small Python projects in this list, but feel free to explore the ChatterBot documentation along with the broader field of AI chatbots if you’d like to learn more or expand the code’s features.

If this has whet your appetite for building AI bots, check out our 24-Hour Python Chatbot course to learn how to build an AI-powered chatbot with the same tools that power OpenAI’s ChatGPT.

And if you're hungry for even more AI goodness, check out OpenAI,'s latest feature that lets you  build your own GPT .

Important note: ChatterBot is no longer being actively maintained. This means you need to make a small change to the tagging.py file located in the ‘Lib/site-packages/chatterbot’ directory of your Python installation folder.

Don’t worry; it’s straightforward to do, and we’ve included the exact source code you need to use, as shown below.

Modify tagging.py:

Find the first code snippet, which is part of the __init__ method for the PosLemmaTagger class. Replace this with the if/else statement.

Note: this example is for the English library we used in our example, but feel free to switch this out to another language if you’d prefer.

22. Text to Speech

This Python project uses a range of new libraries to convert an existing article into a playable mp3 file. You’ll need to install nltk (natural language toolkit), newspaper3k, and gtts (see pip install instructions).

You’ll see that the program is simple, as we simply pass in a URL for an article to convert, then let the function we’ve defined handle the text-to-speech conversion with our newly installed modules.

So, consider trying this out the next time you fancy turning an article into a playable podcast as it’s definitely one of the cool Python codes to copy! 

23. Library Management System

As one of the more advanced Python projects, this program uses object-oriented programming to simulate a library management system.

In this example, we create a Library and Student class, which we can use to create our library system and its users. We’ve then implemented a simple user interface that asks users to select from a range of standard library actions, like borrowing or returning books. 

This is a simple yet powerful example of how you can build out real-world systems via Python and object-oriented programming. Feel free to expand the classes to include other useful features, like unique book IDs, multiple copies of the same book, return dates, fees for returning books late, or any other features you think a library should have!

24. Pong Arcade Game

This is a really fun and interesting project, as we’ve used the Python turtle module to emulate the classic arcade game Pong!

We’ve used various methods from the turtle module to create our game components and detect ball collisions with the player paddles. We’ve also defined a range of keybindings to set the user controls for the left and right player paddles. Feel free to experiment with the game’s settings to better understand how each setting works and affects the overall game.

Outside of these newly introduced turtle graphics functions, we’ve used string formatting to output the current scoreboard and user-defined functions to keep our code tidy. These are concepts you should be familiar with at this stage.

25. Speed Typing Test

This is an interesting Python project that tests how quickly you can accurately type out a sentence.

This program requires us to create a graphical user interface (GUI) via the tkinter module. If you’re new to GUIs, this example is a nice introduction as we use a range of simple labels, buttons, and entry fields to create a window. We’ve also used the Python timeit module to handle the timing aspect of our typing test, and the random module to randomly select a test phrase.

We’ve only added two test phrases to this example, but feel free to experiment with more or even integrate a 3rd party dictionary for a wider array of examples.

26. Text Editor

Building on our last tkinter example, this fun Python project creates a GUI to simulate our very own text editor. This example also uses standard GUI components, including labels, buttons, and entry fields.

However, we’ve also added the ability to open and save files like a real text editor. If you’re new to file handling, this Python project is a great way to understand how to read-in and save files.

Experiment with the code below to solidify your understanding, and see if you can expand on this code to create other features you’re used to using with a text editor, like a ‘find word’ function.

27. Sudoku Solver

This Python project uses the pygame library (see pip install instructions) to implement a GUI for automatically solving sudoku puzzles. We use several user-defined functions to create the GUI, as shown below.

To solve a sudoku puzzle, this program uses a backtracking algorithm that incrementally checks for solutions, either adopting or abandoning the current solution if it’s not viable.

This step of abandoning a solution is the defining feature of a backtracking approach, as the program steps back to try a new solution until it finds a valid one. This process is incrementally carried out until the entire grid has been correctly filled.

Feel free to experiment with different sudoku problems, and even think about expanding the size of the problem grid (you’ll need a new base image if you do this).

28. Site Connectivity Checker

This Python project uses the urllib and tkinter modules to test website connectivity.

We’ve used the tkinter module to create a GUI allowing users to enter a web address. Much like our previous examples, this includes labels, buttons, and entry fields.

After we’ve collected the user’s web address, we pass this to our user-defined function to return an HTTP status code for the current website via the urllib module’s .getcode() function.

For this example, we simply determine whether the HTTP code is 200. If it is, we know the site is working; otherwise, we inform the user that it is unavailable.

You could expand this code to consider a more granular approach to handling the various HTTP response codes, so feel free to add this!

29. Language Detector

This Python project uses the langdetect module (see pip install instructions) to help us identify the language that has been entered. This can be really useful if you’re unsure which language you’re dealing with. 

This is another example where we’ve used tkinter to create a simple GUI involving labels, buttons, and an entry field. We can then collect text from the entry field and process this with the langdetect to determine which language was entered. Finally, we print this result to the GUI to let the user know the result.

Note that the results returned by langdetect are abbreviated language codes. For example, if we enter English text, we will see ‘en’ as the return value.

30. Netflix Recommendation System

To cap it all off, we’ve saved a particularly exciting Python project for last! This is a Netflix recommendation system, ideal for aspiring data scientists. In fact, if you’re considering a machine learning course , this is a great project to reinforce your new skills.

To create this project, you’ll need to import a range of modules, including tkinter, re, nltk, pandas, and numpy (see pip install instructions for new modules). You’ll also need to download a Kaggle dataset containing Netflix movies and TV shows. 

We’ll use tkinter to create our GUI, which will use labels, buttons, and entry fields. The user will then be able to enter a TV show or movie they enjoyed on Netflix to return recommendations based on their taste. 

The recommendation engine uses cast, director, ratings, country, and genres as machine learning (ML) ‘features’. The code then uses the ‘cosine similarity’ approach to find similar results based on user input. This extensively uses pandas and numpy to clean the data and prepare it for processing.

There is a lot to unpack in this example, as it uses lots of Python concepts for data science .

The best approach is to slowly work through the code and then carry out further research on Machine Learning (ML), ‘features’, and ‘cosine similarity’. 

You’ll then be able to understand how to use a dataset to derive recommendations based on similarities. If you’re an aspiring data scientist, this is a terrific project to get your feet wet!

• Where To Start With Python

Today, we’re experiencing an ever-growing adoption of Artificial Intelligence (AI), Machine Learning (ML), and data science across the vast majority of business sectors. One of the main things these fields have in common is that they use the Python programming language in one way or another.

When it comes to learning Python in 2024, you have so many choices. Plus, if you'd prefer an in-depth and interactive learning experience, we’d also recommend our new Python course . 

• What Should I Build Using Python?

This is a great question, especially if you’re brand new to coding in Python.

Well, first things first, you should know that there are so many Python applications in various disciplines, so you have lots of options.

Of course, Python has developed a solid reputation for data science, data analysis, machine learning, and AI, but it doesn’t end there.

It’s also really good when it comes to web development, thanks to popular web application frameworks like Django and Flask .

Equally, it’s also ideal for automating repetitive tasks, hence its origin as a scripting language.

To put it simply, you can build a lot with Python, but if you’re looking for inspiration, you’re in the right place!

That's why I put together 30 Python projects for you to get stuck into, ranging from beginner to advanced.

• Wrapping Up

And there we have it! If you've taken the time to build these 30 Python projects, you should be feeling much more competent and confident with Python.

You'll also have a burgeoning Python portfolio that's packed full of interesting and practical Python projects, each demonstrating your dedication and abilities.

I also hope you enjoyed following along with my step-by-step tutorial in the first Python project!

My motivation with these Python tutorials is to guide you through the nuances of Python development while also giving you hands-on experience that you'd usually only get when taking a Python course.

Here at hackr.io , we're huge fans of project-based learning, so I hope these Python projects have bolstered your confidence and sparked a deeper interest in web development or any other form of Python development.

Remember, the journey doesn't end here!

With new projects and step-by-step tutorials regularly added to this page, be sure to check back often for new opportunities to refine your Python skills and expand your portfolio.

Happy coding!

Enjoyed tackling these Python projects and are ready to dive deeper into Python? Check out:

Our Python Masterclass - Python with Dr. Johns

• Frequently Asked Questions

1. Is Python Suitable for Large Projects?

Although there is the argument that Python is slower than other popular languages like C and C++, Python is still widely used by many top tech companies because it is super versatile, easily maintainable, and offers a ton of libraries and support from the community.

2. What Should My First Python Project Be?

Check out any of the Python beginner projects we’ve covered above, including Mad Libs, Rock Paper Scissors, Hangman, or Tic-Tac-Toe!

People are also reading:

• Python Interview Questions
• Python Web Scraping Guide
• Python Frameworks
• Python While Loop
• Python Is & Equality Operators
• Python Conditional Statements
• Python RegEx Cheat Sheet
• Python Interpreters

1. Bureau of Labor Statistics, U.S. Department of Labor. Occupational Outlook Handbook, Software Developers [Internet]. [updated 2021 Sep 8; cited 2024 Jan 15]. Available from: https://www.bls.gov/ooh/computer-and-information-technology/software-developers.htm

2. apilayer. FIXER API - Pricing [Internet]. apilayer; [date unknown; cited 2024 Jan 15]. Available from: https://apilayer.com/marketplace/fixer-api#pricing

3. [no author]. OAuth2 Quick Start Example [Internet]. GitHub; [updated 2016 Apr 26; cited 2024 Jan 15]. Available from: https://github.com/reddit-archive/reddit/wiki/OAuth2-Quick-Start-Example#first-steps

4. Makhija, S. Netflix Movies and TV Shows 2021 [dataset]. Kaggle; 2021. Available from: https://www.kaggle.com/datasets/satpreetmakhija/netflix-movies-and-tv-shows-2021?resource=download

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In this article

• 10 Vital Python Concepts for Data Science
• 10 Common Python Mistakes in 2024 | Are You Making Them? Python Data Science Programming Skills
• 10 Python Concepts I Wish I Knew Earlier For Interviews [2024] Python Career Development Interview Questions

Please login to leave comments

all codes has so many mistakes

3 years ago

Robert Johns

Thanks for pointing this out. If you take a look at our latest projects, they should be all bug-free.

6 months ago

Esther Ndosi

Thank you for all these cool projects. Its great to start a year with them. On the second project I think the attempts should be appended after the guess == rand_num as it always print 1 and i think it should be the lowest attempts the user has. thank you.

3 months ago

Thanks for taking the time to build these projects and spotting that. The second project has been updated, check it out and see what you think.

Embarking on a Python journey with these hands-on projects feels like unlocking a treasure trove of coding adventures!

Always be in the loop.

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25 Python Projects for Beginners – Easy Ideas to Get Started Coding Python

The best way to learn a new programming language is to build projects with it.

I have created a list of 25 beginner friendly project tutorials in Python.

My advice for tutorials would be to watch the video, build the project, break it apart and rebuild it your own way. Experiment with adding new features or using different methods.

That will test if you have really learned the concepts or not.

You can click on any of the projects listed below to jump to that section of the article.

If you are not familiar with the basics of Python, then I would suggest watching this beginner freeCodeCamp Python tutorial .

Python Projects You Can Build

• Guess the Number Game (computer)
• Guess the Number Game (user)
• Rock, paper, scissors
• Countdown Timer
• Password Generator
• QR code encoder / decoder
• Tic-Tac-Toe
• Tic-Tac-Toe AI
• Binary Search
• Minesweeper
• Sudoku Solver
• Photo manipulation in Python
• Markov Chain Text Composer
• Connect Four
• Online Multiplayer Game
• Web Scraping Program
• Bulk file renamer
• Weather Program

Code a Discord Bot with Python - Host for Free in the Cloud

• Space invaders game

Mad libs Python Project

In this Kylie Ying tutorial, you will learn how to get input from the user, work with f-strings, and see your results printed to the console.

This is a great starter project to get comfortable doing string concatenation in Python.

Guess the Number Game Python Project (computer)

In this Kylie Ying tutorial, you will learn how to work with Python's random module , build functions, work with while loops and conditionals, and get user input.

Guess the Number Game Python Project (user)

In this Kylie Ying tutorial, you will build a guessing game where the computer has to guess the correct number. You will work with Python's random module , build functions, work with while loops and conditionals, and get user input.

Rock, paper, scissors Python Project

In this Kylie Ying tutorial , you will work with random.choice() , if statements, and getting user input. This is a great project to help you build on the fundamentals like conditionals and functions.

Hangman Python Project

In this Kylie Ying tutorial, you will learn how to work with dictionaries, lists, and nested if statements. You will also learn how to work with the string and random Python modules.

Countdown Timer Python Project

In this Code With Tomi tutorial , you will learn how to build a countdown timer using the time Python module. This is a great beginner project to get you used to working with while loops in Python.

Password Generator Python Project

In this Code With Tomi tutorial , you will learn how to build a random password generator. You will collect data from the user on the number of passwords and their lengths and output a collection of passwords with random characters.

This project will give you more practice working with for loops and the random Python module.

QR code encoder / decoder Python Project

In this Code With Tomi tutorial , you will learn how to create your own QR codes and encode/decode information from them. This project uses the qrcode library.

This is a great project for beginners to get comfortable working with and installing different Python modules.

Tic-Tac-Toe Python Project

In this Kylie Ying tutorial, you will learn how to build a tic-tac-toe game with various players in the command line. You will learn how to work with Python's time and math modules as well as get continual practice with nested if statements.

Tic-Tac-Toe AI Python Project

In this Kylie Ying tutorial, you will learn how to build a tic-tac-toe game where the computer never loses. This project utilizes the minimax algorithm which is a recursive algorithm used for decision making.

Binary Search Python Project

In this Kylie Ying tutorial, you will learn how to implement the divide and conquer algorithm called binary search. This is a common searching algorithm which comes up in job interviews, which is why it is important to know how to implement it in code.

Minesweeper Python Project

In this Kylie Ying tutorial, you will build the classic minesweeper game in the command line. This project focuses on recursion and classes.

Sudoku Solver Python Project

In this Kylie Ying tutorial, you will learn how to build a sudoku solver which utilizes the backtracking technique. Backtracking is a recursive technique that searches for every possible combination to help solve the problem.

Photo Manipulation in Python Project

In this Kylie Ying tutorial, you will learn how to create an image filter and change the contrast, brightness, and blur of images. Before starting the project, you will need to download the starter files .

Markov Chain Text Composer Python Project

In this Kylie Ying tutorial, you will learn about the Markov chain graph model and how it can be applied the relationship of song lyrics. This project is a great introduction into artificial intelligence in Python.

Pong Python Project

In this Christian Thompson tutorial , you will learn how to recreate the classic pong game in Python. You will be working with the os and turtle Python modules which are great for creating graphics for games.

Snake Python Project

In this Tech with Tim tutorial, you will learn how to recreate the classic snake game in Python. This project uses Object-oriented programming and Pygame which is a popular Python module for creating games.

Connect Four Python Project

In this Keith Galli tutorial, you will learn how to build the classic connect four game. This project utilizes the numpy , math , pygame and sys Python modules.

This project is great if you have already built some smaller beginner Python projects. But if you haven't built any Python projects, then I would highly suggest starting with one of the earlier projects on the list and working your way up to this one.

Tetris Python Project

In this Tech with Tim tutorial, you will learn how to recreate the classic Tetris game. This project utilizes Pygame and is great for beginner developers to take their skills to the next level.

Online Multiplayer Game Python Project

In this Tech with Tim tutorial, you will learn how to build an online multiplayer game where you can play with anyone around the world. This project is a great introduction to working with sockets, networking, and Pygame.

Web Scraping Program Python Project

In this Code With Tomi tutorial , you will learn how to ask for user input for a GitHub user link and output the profile image link through web scraping. Web scraping is a technique that collects data from a web page.

Bulk File Re-namer Python Project

In this Code With Tomi tutorial , you will learn how to build a program that can go into any folder on your computer and rename all of the files based on the conditions set in your Python code.

Weather Program Python Project

In this Code With Tomi tutorial , you will learn how to build a program that collects user data on a specific location and outputs the weather details of that provided location. This is a great project to start learning how to get data from API's.

In this Beau Carnes tutorial , you will learn how to build your own bot that works in Discord which is a platform where people can come together and chat online. This project will teach you how to work with the Discord API and Replit IDE.

After this video was released, Replit changed how you can store your environments variables in your program. Please read through this tutorial on how to properly store environment variables in Replit.  

Space Invaders Game Python Project

In this buildwithpython tutorial ,  you will learn how to build a space invaders game using Pygame. You will learn a lot of basics in game development like game loops, collision detection, key press events, and more.

I am a musician and a programmer.

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50+ Python Projects with Source Code: Beginner to Advanced

By Faraz - February 17, 2024

Popular 50+ Python projects with source code, suitable for all skill levels. From basic to advanced, start coding today! #PythonProjects

Table of Contents

Introduction to python projects.

Python is a versatile programming language known for its simplicity and readability. It's widely used in various domains such as web development, data analysis, machine learning, automation, and more. One of the best ways to master Python is by working on projects. In this blog post, we present a comprehensive collection of over 50 Python projects complete with source code. Whether you're a beginner looking to practice your skills or an experienced programmer seeking new challenges, these projects offer something for everyone.

1. Alarm Clock

Are you looking to build your Python skills while creating something useful? Start with a simple yet practical project like an Alarm Clock. With Python, you can code an alarm clock that wakes you up with your favorite tune or a custom message.

2. Calculator

Mastering Python isn't just about complex algorithms; it's also about solving everyday problems. Build a calculator using Python to perform basic arithmetic operations. It's a great way to understand functions, user input, and mathematical operations in Python.

3. QR Code Generator

QR codes are everywhere these days, and understanding how to generate them using Python can be a valuable skill. Create a QR code generator application that allows users to input text or a URL and generates a QR code image that they can save or share.

4. Password Generator

Security is crucial, especially in the digital age. Develop a password generator application in Python that creates strong and random passwords based on user-defined criteria such as length and character types. It's a practical project that enhances your skills while promoting cybersecurity.

5. Guess the Number

Embark on a classic programming challenge by creating a "Guess the Number" game in Python. Challenge the user to guess a randomly generated number within a certain range. This project will reinforce your understanding of loops, conditionals, and user interaction in Python.

6. Age Calculator

Explore date and time manipulation in Python by building an Age Calculator. Allow users to input their birthdate, and then calculate and display their age in years, months, and days. It's a practical application that demonstrates Python's datetime module functionalities.

7. Weather Forecast App

Combine your Python skills with web scraping to develop a Weather Forecast App. Utilize APIs or web scraping techniques to fetch real-time weather data from online sources and present it in a user-friendly interface. This project will enhance your knowledge of data retrieval and visualization in Python.

8. Photo Compressor

Optimize images with a Python-based Photo Compressor. Create an application that reduces the file size of images while preserving their quality. You can explore image processing libraries like Pillow to implement various compression techniques and improve your understanding of image manipulation in Python.

9. Vending Machine

Simulate the functionality of a vending machine using Python. Design a program that allows users to select items, input payment, and receive their chosen product. This project will help you grasp concepts such as conditionals, loops, and data structures while simulating real-world scenarios.

10. Youtube Downloader

Build a Youtube Downloader application in Python to download videos from YouTube. Utilize third-party libraries like pytube to fetch video URLs, download videos, and save them to the local filesystem. This project will introduce you to working with APIs and handling multimedia data in Python.

11. Typing Speed Test

Sharpen your typing skills while practicing Python programming with a Typing Speed Test project. Develop an application that prompts users to type a passage within a specified time limit and calculates their words per minute (WPM) and accuracy. This project will enhance your understanding of string manipulation and timing functions in Python.

12. Currency Converter

Dive into the world of financial applications by creating a Currency Converter in Python. Utilize exchange rate APIs or manually input conversion rates to allow users to convert between different currencies. This project will deepen your understanding of data manipulation and user input handling in Python.

13. Quiz Application

Create an interactive Quiz Application using Python to challenge users with a variety of questions. Implement features such as multiple-choice, true/false, and fill-in-the-blank questions, along with scoring and feedback mechanisms. This project will reinforce your knowledge of data structures and user interfaces in Python.

14. Word Counter

Enhance your text processing skills by building a Word Counter application in Python. Develop a program that analyzes text input and calculates the frequency of each word, along with other statistics such as total words and unique words. This project will strengthen your understanding of dictionaries, strings, and file handling in Python.

15. Bitcoin Price Tracker

Stay up-to-date with cryptocurrency trends by creating a Bitcoin Price Tracker in Python. Fetch real-time Bitcoin prices from cryptocurrency APIs and display them in a graphical or text-based interface. This project will introduce you to working with APIs and handling JSON data in Python.

16. MP3 Player

Immerse yourself in the world of multimedia applications by developing an MP3 Player in Python. Utilize libraries like pygame or tkinter to create a graphical user interface (GUI) that allows users to play, pause, stop, and navigate through their music library. This project will enhance your understanding of audio playback and GUI programming in Python.

17. Generate Random Jokes

Inject some humor into your Python projects by building a Random Jokes Generator. Fetch jokes from online APIs or create a collection of jokes and randomly select and display them to the user. This project will reinforce your skills in working with APIs, strings, and randomization in Python.

18. Text Editor/Notepad

Create a simple Text Editor or Notepad application in Python to manage and edit text files. Implement features such as opening, editing, saving, and formatting text, along with functionalities like search and replace. This project will deepen your understanding of file handling and GUI programming in Python.

19. Digital Clock

Explore graphical user interfaces (GUIs) in Python by building a Digital Clock application. Design a clock interface that displays the current time and updates in real-time. You can use libraries like tkinter or pygame to create the GUI elements and handle time-related functionalities. This project will enhance your knowledge of GUI programming and event handling in Python.

20. Flappy Bird

Challenge yourself with game development by creating a Flappy Bird clone in Python. Utilize libraries like pygame to design the game mechanics, graphics, and user interface. Implement features such as bird movement, pipe generation, collision detection, and scoring. This project will deepen your understanding of game development concepts and object-oriented programming (OOP) in Python.

21. Brick Breaker Game

Experience the thrill of classic arcade gaming by developing a Brick Breaker game in Python. Use libraries like pygame to create the game environment, paddle, ball, and bricks. Implement features such as ball movement, collision detection, power-ups, and scoring. This project will reinforce your understanding of game physics and event handling in Python.

22. Captcha Generator

Protect websites from spam and bots by creating a Captcha Generator in Python. Design an application that generates random Captcha images with distorted text, which users must correctly identify to proceed. This project will deepen your understanding of image manipulation and randomization in Python.

23. Scientific Calculator

Delve into advanced mathematical concepts with a Scientific Calculator project in Python. Develop a calculator application that supports functions like trigonometry, logarithms, exponents, and more. This project will challenge you to implement complex mathematical algorithms and enhance your problem-solving skills in Python.

24. PDF 2 Image Converter

Unlock the potential of document processing by creating a PDF to Image Converter in Python. Utilize libraries like PyPDF2 and Pillow to extract pages from PDF files and convert them into image formats like JPEG or PNG. This project will introduce you to working with different file formats and image processing techniques in Python.

25. Hash Cracker

Explore the world of cryptography by developing a Hash Cracker application in Python. Design a program that can crack hashed passwords using techniques like dictionary attacks or brute force. This project will deepen your understanding of encryption algorithms, string manipulation, and cybersecurity concepts in Python.

26. Python Bounce Game

Immerse yourself in game development by creating a Python Bounce Game. Utilize libraries like pygame to design the game environment, ball, and paddles. Implement features such as ball movement, collision detection, and scoring. This project will deepen your understanding of game physics and event handling in Python.

27. Dino Game

Explore the world of web browser games by recreating the classic Dino Game from Google Chrome's offline mode. Use libraries like pygame to design the game environment and implement features such as jumping, ducking, and avoiding obstacles. This project will challenge you to create a game with simple mechanics while honing your skills in Python.

28. PNG to JPG

Expand your image processing skills by developing a PNG to JPG Converter in Python. Utilize libraries like Pillow to load PNG images, convert them to JPG format, and save them to the local filesystem. This project will deepen your understanding of image file formats and manipulation techniques in Python.

29. Connect Four Game

Challenge yourself with board game development by creating a Connect Four game in Python. Design the game board, pieces, and rules, and implement features such as dropping pieces, checking for win conditions, and handling player turns. This project will reinforce your understanding of game logic and algorithms in Python.

30. Car Race Game

Experience the thrill of racing games by developing a Car Race Game in Python. Utilize libraries like pygame to design the game environment, cars, and tracks. Implement features such as car movement, collision detection, and scoring. This project will deepen your understanding of game physics and simulation in Python.

31. Digital Certificate Creation

Enter the realm of cybersecurity by developing a Digital Certificate Creation tool in Python. Design a program that generates digital certificates using cryptographic techniques such as public-key encryption. This project will deepen your understanding of cryptography and secure communication protocols in Python.

32. Chatbot

Explore the exciting field of natural language processing (NLP) by creating a Chatbot in Python. Design an interactive conversational agent that can respond to user inputs and engage in meaningful conversations. This project will introduce you to NLP libraries like NLTK or spaCy and enhance your skills in text processing and machine learning in Python.

33. Rock Paper Scissors Game

Relive the timeless fun of the Rock Paper Scissors game by creating your own version in Python. Design the game mechanics, user interface, and implement features such as player input, computer AI, and scoring. This project will reinforce your understanding of conditional statements and randomization in Python.

34. Music Player

Immerse yourself in multimedia applications by developing a Music Player in Python. Utilize libraries like pygame or tkinter to create a graphical user interface (GUI) that allows users to play, pause, stop, and navigate through their music library. This project will enhance your understanding of audio playback and GUI programming in Python.

35. Restaurant Management System

Explore the world of software solutions for businesses by developing a Restaurant Management System in Python. Design a program that allows restaurant staff to manage orders, inventory, and customer information efficiently. This project will deepen your understanding of data management and user interface design in Python.

36. Python Dictionary

Dive into data structures by creating a Python Dictionary application. Design a program that allows users to add, remove, and search for entries in a dictionary. Implement features such as key-value pair management and dictionary manipulation. This project will reinforce your understanding of dictionaries and data organization in Python.

37. Test Internet Speed

Monitor your internet connection with a Test Internet Speed tool in Python. Design a program that measures the download and upload speeds of your internet connection and displays the results. This project will introduce you to network programming concepts and enhance your skills in working with external APIs in Python.

38. Task Management System

Stay organized and productive with a Task Management System in Python. Design an application that allows users to create, update, and track tasks and deadlines. Implement features such as task categorization, priority levels, and reminder notifications. This project will deepen your understanding of data management and user interaction in Python.

39. To-do List

Simplify your daily tasks with a To-do List application in Python. Design a program that allows users to create, edit, and delete tasks, along with setting deadlines and reminders. Implement features such as task categorization, sorting, and search functionalities. This project will enhance your skills in working with lists and user interfaces in Python.

40. WebScraper

Explore web scraping techniques by developing a WebScraper in Python. Design a program that extracts data from websites and saves it for further analysis or processing. Implement features such as data extraction, parsing, and storage. This project will deepen your understanding of web technologies and data manipulation in Python.

41. Paint Application

Unleash your creativity with a Paint Application in Python. Design a program that allows users to draw, paint, and manipulate images using various tools and brushes. Implement features such as color selection, brush sizes, and saving and exporting artwork. This project will enhance your understanding of graphical user interfaces (GUIs) and image processing in Python.

42. School Management System

Streamline educational processes with a School Management System in Python. Design an application that manages student records, class schedules, grades, and attendance. Implement features such as user authentication, data encryption, and reporting functionalities. This project will deepen your understanding of data management and security in Python.

43. Translator / Language Converter

Bridge language barriers with a Translator or Language Converter application in Python. Design a program that translates text or phrases between different languages using translation APIs or libraries. Implement features such as language detection, input validation, and user-friendly interfaces. This project will introduce you to working with external APIs and text processing in Python.

44. Hangman Game

Challenge your vocabulary and logic skills with a Hangman Game in Python. Design a program that randomly selects a word for the player to guess, with limited attempts. Implement features such as displaying the hangman figure and tracking incorrect guesses. This project will reinforce your understanding of strings, loops, and user interaction in Python.

45. Chess Game

Enter the world of strategy and tactics with a Chess Game in Python. Design a program that simulates a chessboard, pieces, and rules, allowing players to compete against each other or against a computer AI. Implement features such as legal move validation, check detection, and checkmate conditions. This project will challenge you to implement complex game logic and algorithms in Python.

46. Minesweeper Game

Test your puzzle-solving skills with a Minesweeper Game in Python. Design a program that generates a grid of cells containing hidden mines, and allows the player to uncover cells without detonating any mines. Implement features such as mine placement, cell revealing, and game logic. This project will reinforce your understanding of nested loops, conditionals, and algorithms in Python.

47. Ping Pong Game

Experience the excitement of classic arcade gaming with a Ping Pong Game in Python. Design a program that simulates a virtual ping pong table, allowing two players to compete against each other. Implement features such as paddle movement, ball physics, and scoring. This project will enhance your understanding of game mechanics and event handling in Python.

48. Snake Game

Relive the nostalgia of old-school gaming with a Snake Game in Python. Design a program that simulates a snake moving around a grid, eating food to grow longer while avoiding collisions with itself and the walls. Implement features such as snake movement, food generation, and scoring. This project will deepen your understanding of game logic and data structures in Python.

49. Memory Tile Game

Challenge your memory and concentration with a Memory Tile Game in Python. Design a program that generates a grid of tiles, each containing a hidden image or symbol. Implement features such as tile flipping, matching pairs, and scoring. This project will reinforce your understanding of graphical user interfaces (GUIs) and event handling in Python.

50. Sudoku Solver

Master the art of puzzle-solving with a Sudoku Solver in Python. Design a program that can solve Sudoku puzzles of varying difficulties using algorithms such as backtracking or constraint propagation. Implement features such as puzzle input, solution validation, and step-by-step solving. This project will challenge you to implement advanced algorithms and enhance your problem-solving skills in Python.

51. Tic Tac Toe Game

Enjoy a timeless classic with a Tic Tac Toe Game in Python. Design a program that simulates a Tic Tac Toe board, allowing two players to take turns marking spaces until one player wins or the board is full (resulting in a draw). Implement features such as player input, win detection, and replayability. This project will reinforce your understanding of game logic and conditional statements in Python.

52. 2048 Game

Experience the addictive gameplay of 2048 with a Python implementation of the game. Design a program that generates a grid of numbered tiles, allowing players to combine matching tiles by sliding them across the board. Implement features such as tile movement, merging, and scoring. This project will deepen your understanding of game mechanics and algorithms in Python.

Python projects with source code offer an excellent opportunity to enhance your programming skills and explore various domains. Whether you're interested in web development, data analysis, machine learning, or just looking for fun projects to try, there's something for everyone in this diverse collection. Start coding, learning, and building with Python today!

Q1. How can I get started with Python projects?

Begin by learning the basics of Python programming and then gradually progress to more complex projects. You can find project ideas online or create your own based on your interests.

Q2. Are there any prerequisites for working on Python projects?

Having a basic understanding of Python syntax and programming concepts is helpful. Additionally, familiarity with relevant libraries and frameworks for your chosen project domain can be beneficial.

Q3. Where can I find Python project ideas?

You can find project ideas on websites, forums, and GitHub repositories dedicated to Python projects. Additionally, brainstorming based on your interests and goals can help generate project ideas.

Q4. How do Python projects contribute to skill development?

Python projects provide hands-on experience, allowing developers to apply theoretical knowledge to practical scenarios. They also encourage problem-solving and foster creativity, leading to skill development.

Q5. Why is community involvement important in Python projects?

Community involvement allows developers to learn from others, collaborate on projects, and receive feedback on their work. It also fosters a sense of belonging and contributes to the growth of the Python community.

That’s a wrap!

I hope you enjoyed this article

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30 Python Projects For Beginners and Advanced Learners

updated Jan 22, 2023

So you’re done with your first Python programming course ? Congrats!

Now you’re probably wondering:

How can I practice my Python skills now? What Python projects for beginners can I build next?

Now that you know the basics of Python programming, it’s time to put your skills to good use and build something useful. This is when the fun part of learning Python starts!

But where can you find Python project ideas that are easy and fun to build?

The truth is: the sooner you start building your first Python projects, the better.

You should start practicing on fun and easy Python projects asap. This will help you understand how the language works much better as you create something on your own, step by step.

Building your own Python projects is the only way to put together a stellar portfolio, which is your #1 goal if you want to become a Python developer and start a career in tech.

It doesn’t matter how big or small your projects are, as long as you’re building them without following a video tutorial or a book every step of the way. You need to work independently as much as you can to learn how to apply your skills on your own.

To help you get started, I’ll walk you through 10 fun Python projects for beginners in this post. All of them are easy, fun, and perfect for you if you are relatively new to programming.

By the end of this article, you will be armed with a bunch of Python projects for practice to take your skills to the next level starting right now!

Here are a few related articles about Python programming:

• 19 Best YouTube Channels to Learn Python for Free
• 12 Essential Advantages of Python (Why You Should Learn Python)
• How to Finish Your Coding Projects Faster? 15 Smart Tips for Beginners

What is Python?

If you are not familiar, Python is a high-level, object-oriented programming language.

Python is a multi-purpose programming language, so it’s very versatile. Companies use Python for a plethora of projects in areas like:

• Data collection and database creation
• Data analysis and science
• Machine learning algorithms
• Artificial intelligence
• Web development
• Scripting and automation

Hence, if you are new to coding and not sure what area you wish to specialize in, Python is a tool you can use for a plethora of different projects in the future.

Python is relatively easy to learn, too. Its syntax is clean and clear, and it reads a lot like English.

If you are new to programming, you will spend less time troubleshooting your code and more time learning and building projects.

These are just a few reasons why Python is the perfect first programming language to learn .

Because of its advantages, Python has become one of the most popular coding languages worldwide; Python currently ranks at #1 on the TIOBE Index , for example:

Also, over 48% of respondents in the 2022 Stack Overflow Survey had used it.

Because Python is so popular, it’s also in high demand on the job market.

On average, Junior Python Developers earn $96,697 annually according to Indeed .

I’ve written more about my own Python journey in my guide on how I learned Python in 4 weeks (with no experience) .

10 Python projects for beginners

Now that you know what Python is, let’s look at some interesting Python projects you can build as a beginner.

Once you have learned the basics of Python, the most important thing is to start using it for solving small problems asap.

If you have finished your first Python tutorial or online course, you’re a more capable programmer than you may think.

You have a basic sense of how Python works and how you can model real-life situations in small programs.

I encourage you to keep a running list of small Python project ideas of your own in Google Sheets or Trello, for example.

Think of simple web apps you would want to create, small data sets you could analyze, or basic 2D video games you would like to program, for instance.

If you’re short of ideas right now, let’s go through a few project ideas for inspiration!

Here are 10 simple Python projects for beginners to build:

• Odd or Even?
• Guessing the Number
• Rock Paper Scissors
• Password Generator
• Tic Tac Toe

Make sure you share this post with others and pin it for later!

1: Odd or even?

Let’s start with a super easy project you can build right away. Write a small Python program that asks the user for a number and tells them if it is odd or even.

To help you get started, here’s a good article about the Modulo operator in Python.

2: Guessing the number

Making a user guess a number is another easy Python program you can write in just a few lines of code. It should generate a random number between, let’s say, 0 and 100. The player then needs to guess what that number is.

Should the user guess wrong, the program should respond by telling them their guess is either too low or too high. When the user guesses right, your program should ask them if they want to play again.

For a little added challenge, you can limit the number of guesses to 5, for example.

3: Horoscope

Create a simple horoscope program that asks the user for their star sign and outputs a fun horoscope for them. Bear in mind that your program should display an error message if the user types in their sign wrong.

4: Rock Paper Scissors

Rock Paper Scissors (or RPS) is one of my favorite Python projects for beginners. It’s simple enough but still challenging since you need to think about how to turn the game rules into logic for the program.

The rules are simple:

• Paper wins over rock
• Rock wins over scissors
• Scissors win over paper

Have your program generate a random answer for the computer – but don’t display it. Then, ask the player for their answer.

Hangman is one of the best Python projects for beginners who want a bit of a challenge. The game is about guessing a random word with a limited number of guesses.

Although Hangman may sound rather simple, you need to consider a few key points, such as:

• You need to set a maximum limit for guesses.
• The player needs to be notified about the remaining number of guesses.
• Your player needs to be able to input their guesses.

To get started, you need a way to generate random words to be guessed. The best way is to simply create a separate text file where you store the words or short phrases.

This Python project will probably take you a bit longer, but it’s great practice. You will have to think about random choice, variables, boolean values, inputs and outputs, strings, length, and much more.

To build a very basic text-based Hangman game, here’s a step-by-step tutorial video for some helpful tips:

An acronym Python program will take a given phrase or text and convert it into its acronym. That is, a word that consists of the first letters of each word in the text.

To make your acronym easier to read, go ahead and turn the letters into uppercase with Python. Also, think about how the program will take text as input from the user while separating that user input from the logic itself.

7: Password Generator

Create a Python program that generates a random password for the user. Make sure your program takes a few inputs from the user:

• How long should the password be?
• How many characters should there be?
• Should it have both uppercase and lowercase letters?
• Should it include numbers and special symbols, too?

The best part about this small Python project is that you can actually use it for generating strong passwords for your own user accounts across the Web!

7: Word Count

Write a Python program that takes a text file as an input and outputs how many times each word occurs in the text.

You can start small by counting the number of words in a list, for example. Use the Counter collection for this.

Once you understand how the collection works, move on to more advanced inputs, such as longer text files. You can access complete book scripts for free at Project Gutenberg for this.

8: Pong Game

Creating a simple Pong game is one of the easiest projects to learn how to use Python for simple video games. You can use the Pygame library to speed up your workflow for designing and writing your game.

Using Python to build simple but fun games is definitely one of the most enjoyable ways to learn the language. Moreover, you will get more ideas for developing your game further and adding new features while you’re playing.

If you’re ready to start building your first video game with Python right away, here’s a full video course from freeCodeCamp including a Pong game tutorial:

9: Tic Tac Toe

Tic Tac Toe is a fun Python project to build in a single day. It’s the game where two players take turns marking the 3×3 grid with cross and circle symbols.

The player who gets three marks in a horizontal, vertical, or diagonal row is the winner.

This little Python project is fun to build but it requires you to think about the logic of the game in your code.

The players need to take turns and the game needs to keep going until (1) someone wins or (2) the grid is full, for example.

Hence, before you start writing actual Python code, map out the different features of the game.

First, write down all the steps your program needs to go through. Only then start writing out those steps using Python.

If you want to build your Tic Tac Toe game right now, here’s a beginner-level walkthrough tutorial from Clever Programmer:

10: Data analysis with Python

Conducting data analysis with Python is a great idea for an intermediate Python project.

Python supports a number of powerful libraries you can use for analyzing, visualizing, and mining data.

Small data analysis projects will familiarize you with a few popular Python libraries, such as Matplotlib, NumPy, and Pandas, for instance.

My first Python book, Python Crash Course by Eric Matthes, had a fun project where I learned how to do data analysis with Python. If you’re looking for an all-in-one Python book for absolute beginners, I definitely recommend checking it out.

If you learn better by watching videos, here’s one of my favorite videos for learning the basics of Matplotlib and Pandas for absolute beginners:

20 advanced Python project ideas

If the projects above feel too easy, you may be looking for more advanced Python project ideas.

If you are familiar with the fundamental Python libraries and a few external libraries, you should know how to install external libraries and use them for your projects.

If that’s the level you are at right now, here are 20 advanced Python projects for you:

• Desktop notification app
• Digital clock with Python
• Calculator GUI with Python
• Number guessing game
• Instagram filters with Python
• Send emails with Python
• Build a web scraper
• Build a Wikipedia scraper
• Barcode and QR code reader
• Face detection with Python
• Telegram bot
• Keyword research
• Calendar GUI app
• Text editor GUI
• Weight converter GUI
• Image converter GUI
• Image filtering with Machine Learning
• Text To Speech
• Create an audiobook

How to build coding projects in Python?

Now that you have a few ideas for practical Python projects for beginners, let’s go through a few essentials about how to go about building them.

What you want to do first is to make sure you find good resources for learning the basics of how Python works.

You can choose books, online courses, or Python YouTube tutorials for this. Choose whatever method fits your learning style the best.

Next, you should study the code you see in your tutorials or books. Familiarize yourself with how the syntax works and how it follows a certain logic in each program. This step is super important for understanding how to solve problems with code.

Step-by-step, you will start feeling more comfortable with reading and writing Python code yourself. And by this, I mean very simple programs, nothing too advanced.

Once you have solved a few small exercises, you’re pretty much all set for building small programs on your own.

Hence, I strongly encourage you to break away from your tutorials and try to solve a few small problems by yourself using Python.

Read next: The Best Way to Learn to Code: Beginner’s Guide

How to finish your Python projects faster by breaking down your problem

Are you ready to start building your first Python project? Great!

The most important thing to keep in mind is to start small. You don’t want to set your expectations too high. Otherwise, you will just end up feeling overwhelmed and disappointed.

Now, before you start writing Python code, let me walk you through a few helpful tips first.

Essentially, this is what it all boils down to:

For any Python program you write, you need to understand the underlying problem and figure out how to solve it with Python step-by-step.

If solving problems feels fun to you, programming could just be your thing!

So what you want to do when you start a Python project is:

• Figure out your problem
• Break it down to smaller steps
• Map out the individual steps your program should perform
• Solve each step individually

These four steps will help you stay focused on what you’re supposed to do. Also, they will keep you motivated as you solve smaller parts of the main problem one by one.

Final thoughts: Python projects for beginners and advanced learners

The fun Python projects for beginners above should keep you busy building your own programs for a while.

Start with the first ones since they are the easiest.

Then, challenge yourself to learn Python by practicing with more complex projects. They are still quite easy, but they include more steps to solving the main problem.

Therefore, you will need to think more about how to construct your program to perform all the necessary steps.

All in all, building Python projects boils down to learning how to solve problems by yourself using Python code.

There are tons of project ideas to explore and you will probably come up with a few ideas of your own as you go.

I hope you found a few Python project ideas in this post. If you have an idea I should add to the article, drop me a line in the comments below!

If you are looking to learn Python for machine learning, check out these machine learning project ideas for Python , too.

To learn more about Python, here are a few related posts for you:

• The Best Websites to Learn Coding and Web Development
• What Programming Language Should I Learn? The Ultimate Guide
• 30+ HTML and CSS Projects for Beginners (With Source Code)

If you liked this article about Python projects for beginners, please leave me a comment!

P.S. If you found my Python project ideas useful, please share this post with others! Thanks for your support!

Happy coding! – Mikke

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About mikke.

Hi, I’m Mikke! I’m a blogger, freelance web developer, and online business nerd. Join me here on MikkeGoes.com to learn how to code for free , build a professional portfolio website , launch a tech side hustle , and make money coding . When I’m not blogging, you will find me sipping strong coffee and biking around town in Berlin. Learn how I taught myself tech skills and became a web dev entrepreneur here . And come say hi on Twitter !

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Thank you so much for these exercises!!! These helped me a lot!

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55 Python Project Ideas With Helpful Tutorials

What can you do with Python? Well, with Python, you can do endless things. It is a multi-purpose programming language, and that means that almost anything can be done.

Python has libraries for everything, even for artificial intelligence. But it can be overwhelming to start.

In this article, I’m going to show you a list of Python project ideas for beginners, intermediates, and experts to improve your skills and build your portfolio.

I’ll list down some pretty cool python project ideas in several fields such as data science , web development, raspberry pi systems, desktop applications, blockchain, game development, etc.

Let’s start the list with project ideas for desktop applications using Tkinter.

Python Tkinter Project Ideas

If you are a beginner, and you only know the basics of Python , the easiest way to create an app is by using Tkinter. Tkinter is a graphical user interface (GUI) library of Python, which we can use for creating desktop applications .

I created my first ever app by using Tkinter back in 2015. It gave me a lot of confidence to learn more in programming and create more useful apps.

So, for a beginner, I would highly recommend you to start with Tkinter. You can learn it pretty quickly start doing projects right away.

I’ll list down below some cool ideas and tutorials that will help you.

1. Rock Paper Scissors Game using Tkinter

Have you ever played the “Rock Paper Scissors” game with your hands? Now, let’s play it with an app. We will create a desktop application from scratch to play this game. We can do it with ease using the Tkinter library of Python.

In this game, we will be playing against the computer. The app will contain three buttons – Rock, Paper, and Scissor. The player (user) can click on one of these buttons to select his choice. 

Once the user clicks a button, the computer will automatically select a random choice. The app will compare both choices and will give a point to the winner. We can leverage some awesome Python libraries to implement the logic.

If you’re interested in doing this project, I’ve written a step-by-step article with code snippets to walk you through the entire process.  Check out this article for more information .

2. Age Calculator App using Tkinter

Age Calculator App is yet another awesome app that you can easily create with the help of the Tkinter library. In this app, the user can type in his date of birth, and the app will calculate his age and display it.

You can leverage the Python library called datetime for doing this easily. This library will help you to write the logic for calculating the age of a person within a few lines of code.

Also, you’ll learn how to display images on a desktop application. Python has an amazing library called PIL (Python Imaging Library) that you can use for opening, manipulating, and saving many different image file formats.

If you’re interested in doing this project, check out this  helpful illustrated guide  with code for more details.

3. Bookmark App using Tkinter

Bookmark app is a simple app that you can make with Python. The idea of the app is simple. We’ll create an app where you can bookmark and save the links to your favorite websites. You can do this with a few lines of Python and the Tkinter module.

If you want to learn in-depth about the Tkinter library and do this project, click here to find this helpful guide .

You can do a lot of things with the Tkinter library. If you want some more ideas to do projects, here is a list of fascinating Tkinter project ideas:

• Graphical Register and Login System
• Pharmacy Management System
• Restaurant Management System
• Tic Tac Toe Game
• Snake Game using Tkinter
• Color Game using Tkinter

If you’re interested in any of these ideas and want to implement them,  check out this Tkinter Projects Guide , where you’ll learn more about these with the help of some exciting tutorials.

Course Recommendation

If you’re interested in learning Tkinter in-depth, I would suggest you check out the GUI Development with Python and Tkinter course on Udemy. This course comes with a lot of high-quality tutorials and projects at a very small price. You can click here to check out the course contents and current price .

Python Machine Learning Project Ideas

Let’s look at some interesting machine learning projects that you can do with python. By the way, if you’re new to machine learning, don’t worry. You can  read this article  to get a basic idea of machine learning.

Machine learning is a technology that provides systems the ability to learn by themselves from experience without being explicitly programmed. 

Machine learning is not as hard as you might think. It is definitely not rocket science. You can learn it and do projects if you dedicate some time. We also have the help of a lot of libraries and tools to make our lives easy.

Here are a bunch of machine learning project ideas that you can do without much difficulty:

1. Say “Hello world!” to Machine Learning

Ok, Machine learning is undoubtedly a critical field of understanding if we want to learn or develop in artificial intelligence. But with those names so shocking, it can be very intimidating to start working with those tips. To top it all, it is a volatile field of knowledge that is constantly changing.

But luckily, there are a good number of resources in the network that can accompany us while we immerse our fingers in the world of data science . For example, I leave a  tutorial by Jason Brownlee  which is a wonderful introduction to the use of Python in machine learning.

From the beginning, you will see some of the most common machine learning algorithms, and also the Python libraries that serve to make predictions.

I know it may seem tedious, but it is extremely simple and very easy to follow. To complete it, it will only take a few hours.

In the end, we will have enough understanding of how to use Python to perform data science.

Once you are ready, consult  this stock of data science tutorials , there are explanations of several types of uses: how to analyze fingerprints and  people’s faces  for example.

2. Cats and Dogs Image Classification using Deep Learning

Deep learning is a branch of machine learning which helps us to do complex tasks by training artificial neural networks. You can do a lot of stuff with it. One such important application of deep learning is image classification.

Let’s say we have a bunch of images belonging to two types: cats and dogs. We need to teach our system to understand the differences between cats and dogs by providing several example images. Then, our system will learn from all these images and will be able to identify the type when we give it a new random image to test. How cool is that?

This is a very interesting project, and you can apply the same logic to classify any type of image data. I’ve written a complete tutorial about this project to help you do it step by step. If you’re interested in doing this project, check out this tutorial .

3. Cifar-10 Image Classification using Keras

Cifar-10 is a standard machine learning dataset. This dataset consists of images of 10 different classes, viz., airplanes, automobiles, birds, cats, deers, dogs, frogs, horses, ships, and trucks.

This is yet another image classification project, but this time the dataset is a big one. We have ten classes of objects, and we’ll teach all these classes of images to our machine learning model. 

After we train the system with all these data, the system will learn about all these classes. Later, when we give a sample image as an input to the system, it will predict what the image actually is, with an 80% accuracy.

I did this project when I was doing my computer science degree back in college. I’ve learned a lot in doing that, and I’ve prepared a detailed article so that you also can try doing this project without any struggle.

If you’re interested in doing this project,  check out this helpful tutorial .

4. Color Recognition Project

For humans to detect some color and name it is something really simple. But for computers, however, it becomes more tricky. Despite that, you can make strategies to recognize colors through algorithms.

Python has powerful libraries to help you do this easily, such as OpenCV (Open Computer Vision Library). If you are interested in knowing more you can find more details about this kind of project  here .

5. Recognition of Emotions Through Speech

Python can be applied to try to break down the emotional states of an individual through speech.

Of course, a generalized operation is not entirely simple, so to do it well it´s a much more challenging idea than others in this list, but it may work nicely enough for certain voices that we use as a test standard.

If you are interested in the challenge,  here you will find more details about it.

I don’t want to end this list of interesting machine learning ideas. Here are 20 more machine learning project ideas:

• Credit Card Fraud Detection
• Spam classifier
• Predicting the winning team in Football (Soccer)
• Handwritten Digits Recognizer
• Malaria detection 
• Iris Flower Detection
• Movie Recommendation App
• Facial Recognition
• Fake News Detection
• Plant Disease Detection 
• Machine Learning Project Ideas Generator
• Self Driving Toy Car
• Stock Prices Prediction
• Desktop Virtual Assistant
• Sentiment Analysis
• Logo Detection
• Image to Recipe Translator
• Text Summarization
• Creating a Chatbot
• Boosting the Accuracy of an Image Classifier

If any of these ideas interest you, and you want to learn them in-depth, I’ve written a separate article specifically for listing out machine learning project ideas. You can check out 21 machine learning project ideas ripe for the taking!

If you want a great resource to learn the basics of machine learning and data science with Python, I recommend you take the Python for Data Science and Machine Learning Bootcamp by Jose Portilla on Udemy. Click here to check out the course contents and get a sneak peek.

Python Raspberry Pi Project Ideas

Wait for a second…What is a Raspberry Pi?

It´s a tiny computer system, almost the size of a credit card, which is not only composed of the basic hardware of a computer (processor, memory unit, etc.) but also by various types of connections (like USB, HDMI, video, sound, etc.). It has a slot to insert a microSD card, which acts as a hard disk and contains the operating system.

In this regard, it´s recommended to use the Raspbian system, which is based on Debian, although other Linux distributions or a special version of Windows can also be used. The power is provided by a micro-USB charger (for example, a smartphone), and the Internet connection can be established using a network cable through an Ethernet interface.

Other items such as the mouse, keyboard, or external hard drive can be connected via USB slots, and the HDMI port represents the easiest way to connect a screen to the Raspberry Pi. There are also several pins (contact pins) that can be programmed with other functions.

The components of this device vary depending on the model. The first (Raspberry Pi 1) was released in February 2012, and this was followed by others.

The price of the raspberry pi always remained low. Click here to check the current price of a complete Raspberry Pi Kit . The Raspberry Pi 3 was launched in February 2016 with a 64-bit CPU, and for the first time, it is suitable for connection via Wi-Fi and Bluetooth.

The name of the computer is a pun. The first part of its nomenclature follows the tradition of computer companies, whose names are characterized by fruit names, such as Apple, Blackberry, or Acorn. The second part, Pi, refers to the abbreviation of “Python interpreter” since Python is the main programming language of Raspberry Pi.

1. Make a 3D Printer

Yes I know, this is a very expensive project with Raspberry Pi ( around 11,000 dollars), but equally impressive. It´s the Pi 3D Scanner, developed and perfected by the dutchman, Richard Garsthagen, in recent years.

100 Raspberry Pi minicomputers, each equipped with an SD card, and its own camera module, make up the basic structure of the two-meter full-body scanner. Thanks to a proprietary 3D scanning management software, the values obtained can be optimized and subsequently used to print 3D models.

If you are curious  here is a video of this printer.   Now keep in mind that I am not suggesting you make such an amazing 3D printer, but I want to show you the possibilities. Maybe you can start with a  simpler tutorial  and make your way from there.

2. Create a Webserver

Many people make use of the Raspberry Pi as a web server. To do this, you can use various web server programs such as Apache, Lighttpd, or Nginx. 

For the correct hosting of wide and dynamic web content, the normal performance of Raspberry Pi is insufficient, since this small computer is suitable, rather, as a local test environment for web pages. 

Although simple static pages that do not have many visits, they can also stay in a Raspberry Pi. In this  digital guide , you´ll find information to make Raspberry Pi the edge of your web project.

3. Make a Central System for a Smart Home

The connection between home automation and appliances is increasingly popular. The smart home paradigm, which allows centralized management and control of heating lamps, blinds, refrigerators, washing machines, etc., not only increases comfort and quality of life but also contributes to more efficient energy consumption. 

Thanks to its affordability, the possibility of connecting to the Internet, and its fully functional system status with excellent hardware support, there are more and more electronics enthusiasts who turn to Raspberry Pi to develop projects for the home. 

Open-source tools such as  openHAB  or  Home Assistant  are some examples of the necessary basic software. See more about this in this tutorial video.

4. Create a Raspberry Pi Security System

A Raspberry Pi can not only provide comfort but also increase domestic security. This assumption led Max Williams to use his minicomputer (Raspberry Pi 3 Model A +) as the basis for a modest but refined security system that, once turned on, scans the environment live and notifies any recorded movement, including a photo sent by Telegram message. 

The system also sends a message if the device is connected or disconnected. To learn how to make this project a reality with a Raspberry Pi, read the detailed instructions in  hackster.io . There you will also find, among other things, the program code written in Python to direct the security camera.

5. Configure a Private Cloud Service with ownCloud

Raspberry Pi also offers the possibility to configure a private cloud-based service with free software ownCloud. In this case, Raspberry Pi returns to act as a server to which you can upload your data and from which you can access them. 

Having your own cloud server offers, in front of commercial file hosting services such as Dropbox or iCloud, the great advantage of having full control over the server and the data hosted on it.

Therefore, you can also save sensitive data in it without any problem. If you want to know how this works exactly and know the rest of the advantages of this possibility of hosting in the cloud,  see the tutorial in this digital guide .

If you need a quality course to learn the basics of Raspberry Pi with Python, check out The Ultimate Guide to Raspberry Pi on Udemy. Click here to have a sneak peek into the course on Udemy.

Python Web Development Project Ideas

We can use Python to create web applications too. We have two amazing web app development frameworks in Python (Django and Flask) to help us.

To create a web application in its fullest form, you need to have a little bit of knowledge in HTML, CSS, and Javascript. These are the languages that we use to design the front-end part of a website. Python can be used at the back-end to handle requests, data, access, and other logical stuff.

I’ll list down some project ideas that you can implement using Python at the back-end.

1. Create a Blog using Django

Do you want to create your own blog, where you can write down your thoughts and ideas? You can create one with the help of Python and Django.

A blog is a website where you can create, read, update, and delete articles (A CRUD application). The blog contains a homepage where all the articles are listed out, and if a user clicks an article link, it will redirect to that individual article.

It is a basic project that anyone having a little bit of knowledge in Django can do. The best part is that Django comes up with a built-in admin interface. So you don’t need to write code for that. You can use the admin interface and focus more on other essential things.

I’ve written a step-by-step article to help you do this project. If you’re interested,  create a blog with the help of this article .

2. Build Your Portfolio Website using Flask

A portfolio website is a place where you can list down all the projects that you’ve done and all the skills that you have. It can work as an online resume.

Having a portfolio website is really important, especially if you want to get a job or you want to get freelance clients. You can just point clients or employers to this website, and they’ll get to know your skills and all your work. That is really impressive.

Since it is a one-page website, you can create it with ease using HTML, CSS, and Flask. Flask is a pretty lightweight Python framework, and hence it is really easy to learn.

If you want to create a portfolio website using Python, check out this tutorial by Kalle Hallden .

3. Build a Full-Stack Social Network App using Flask

Have you ever thought of creating a social media app? We use social media every day, and wouldn’t it be cool to create your own social media application? You can create a social media app using Python.

You can use Flask as a backend for this project. The full-stack social media app will contain a database, server, and front-end. I’ve found a pretty interesting tutorial that teaches you to do it easily.

If you’re interested,  check out this tutorial  by John G. Fisher at FreeCodeCamp.

4. To-Do List App using Django

A To-Do list app can help you with improving productivity and time management. You can use this app to list all the tasks that you need to complete on a particular day. It will help you efficiently plan your work.

You can create a basic To-Do List web application using the Django framework. You can add new items to the to-do list by clicking a button. Once the task gets completed, you can delete that item from the list.

You only need to know the fundamentals of Python, Django, and a little bit of HTML to do this. I’ve written a step-by-step tutorial on creating a to-do list web application using Django. If you’re interested in doing this project,  check out this tutorial .

5. Deploy your Django Web Apps on Heroku

If you have already done some projects in Django, it is a great time to learn how to deploy those web applications online. You don’t need to buy a server for that. You can use a free service like Heroku.

I looked around the Internet to find tutorials to deploy my web apps online. All I could find were pretty long intimidating blog posts and videos. Hence, I did some research and finally deployed my app on Heroku.

I’ve written a simple guide to help you deploy Django web applications on Heroku. If you want to publish your web apps online,  check out this step-by-step tutorial .

If you learn either Django or Flask, the possibilities are endless. You can do whatever you want and give life to your ideas. If you’re looking for some more creative ideas, then here is a list of some cool projects that can be done with the help of Django:

• Hacker News Clone App
• Login System using Django
• Chatbots using Django
• Weather App using Django
• E-commerce Website using Django
• Video Subscription Website using Django
• Online School System using Django

If you’re interested in any of these ideas, check out my article on  12 Django Project Ideas for Beginners , where I explain each of these projects in detail with helpful tutorials.

If learning Django thoroughly is your goal, I would recommend you take the Python Django Dev To Deployment course by the famous YouTuber Brad Traversy. This course follows a project-based approach having a lot of high-quality tutorials on building web apps using Django. Click here to check out the course contents if you are interested.

Some More Python Project Ideas

Apart from web development, machine learning, raspberry pi, and desktop application development, we can use Python for a lot of other stuff as well. Python has a huge potential in several areas of technology. Here are some more cool projects that you can do with the help of Python.

1. Automate Facebook Login using Python

Web automation is an exciting field of technology. We can use Python for automating any boring tasks with the help of libraries such as Selenium. 

Selenium is a module that helps to automate scripts, and it lets you do a lot of things with your web browser. In this project, what we’ll do is, we’ll automate the Facebook login process.

We’ll write a Python script and run it in our system. This script will automatically launch the Chrome browser, visit the Facebook website, and log in to your Facebook account. Interesting, isn’t it?

You can play around with Selenium and Python to automate whatever you want to do. Automation is an anti-boring technology, and it will really excite you to write code.

If you’re interested in doing web automation and log in to your Facebook account using Python,  this article will walk you through everything . Check it out!

2. Choose Your Own Adventure

Maybe you like storytelling, and in that case, you are lucky because with Python you can build a great interactive story.

Python as a language is extremely easy to write. And that makes it an ideal environment to develop interactive fiction. You can rely on  this free resource  to start the process of writing a text-based adventure game completely compiled in Python.

The guide assumes that you have basic programming knowledge in Python, but it is useful to bridge the gap between that basic knowledge and how to use it to build an application.

In case this idea excites you, you can take it to the next level by applying a software engine like  RenPy  to add sounds and images to the game. In this way, the result will be a complete visual novel (Maybe you can even upload it to Steam and see how it works!).

3. Build A Blockchain

It is true that the blockchain was initially developed as financial technology, but now it is spreading to a variety of other industries. Let’s not forget that blockchains can be used for almost any type of transaction: from real estate transactions to transfers of medical records.

What better way to get a better understanding of how they work than to build one yourself.  This tutorial by Hackernoon  will help you implement a blockchain from scratch. The positive fact is that, at the end of this project, you will have acquired a deep understanding of how this important transactional technology works for the future.

In the process, you will work with HTTP clients and the “request” library. Once the “ Flask ” web framework is installed, you can use HTTP requests to communicate with your blockchain over the Internet.

Remember, blockchain is not only applicable to cryptocurrency enthusiasts. When you´re finished creating your own, you´ll find a creative way to implement this technology in your field of interest.

4. Scrap the Web using Python

We do web scraping when we want to extract some important data from a website. We can use Python to do web scraping with ease. Python has a module called BeatifulSoup, which is really powerful in doing web scraping.

I’ve written a beginner’s guide to help you learn the fundamentals of web scraping with Python. If you want to scrap some websites,  check out this tutorial for more details .

So, what to do after this?

You already have everything you need! A bunch of projects to focus on and start working on. This way you will be able to go from a beginner level to becoming an expert in Python.

It doesn’t really matter where you choose to start. It will only be the first step among countless paths that will serve to develop your programming skills.

It may be that none of these projects ends up convincing you. Perhaps they are very difficult, or on the contrary very simple. But ideas are not really that important. You can find an endless number of interesting project ideas if you just brainstorm.

What’s really important is the execution. Pick one project to do and commit to it. Don’t be lazy. Be a finisher!

Do you have any other cool ideas for doing a Python project? If you have any, feel free to add them in the comments section. We will make this a great resource with awesome ideas. So add your valuable contributions as well.

It took me a long time to create this article. I would appreciate it if you would be willing to share it. It will encourage me to create more useful articles like this.

Happy coding!

I'm the face behind Pythonista Planet. I learned my first programming language back in 2015. Ever since then, I've been learning programming and immersing myself in technology. On this site, I share everything that I've learned about computer programming.

9 thoughts on “ 55 Python Project Ideas With Helpful Tutorials ”

A Wonderful Person you are indeed !!!

i have a raspberry pi!!

Hey Ashwin sir! I’m Chetan from Pune!

Can you please guide me personally, how to learn stuffs or improving programming language and what is the right path to learn programming.

Btw, I’m second year computer student from Sinhgad Academy Of Engineering, Kondhwa, Pune.

Hi Chetan, If you’re looking for a session or something, shoot a mail to [email protected]. Thanks

Thank you for this article….

Cheers mate

hello sir, I am looking for python codes for creating a steganography app with all 4 types for a school project. can u help me with reference and codes??

i want to make money online as a python developer

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Fun Python Projects for Beginners to Try in 2021

To become a skilled programmer, you need to practice. There are many fun and exciting Python projects for beginners. These projects allow you to create something useful while learning this fun programming language.

Books and videos can only bring your knowledge to a certain level. The best way to hone your skills is to challenge yourself. Get better by building projects, like the Python projects for beginners on the list below.

Find your bootcamp match

Now it’s time to put that knowledge to the test and start finessing your programming experience with Python projects.

Reasons You Should Learn Python

Proficiency in one or more coding languages has become desirable, as programming knowledge can lead to lucrative and rewarding careers. Demand for Python developers has been growing steadily, especially as Python is the third most popular programming language in the world.

What’s more, top companies like Instagram, Google, Spotify, Netflix, Dropbox, Instacart, and Reddit (just to name a few) rely on Python. In short, adding Python to your resume will make you a more attractive candidate to prospective employers.

There are many ways to learn python. Some learn python with books. Others learn Python through online courses. If you need more convincing, check out this great resource to learn more about why you should learn Python .

Choosing a Python Project for Beginners

Unless you already have some programming skills under your belt, you’ll want to make sure you’ve learned the basics of Python. If you’re new to learning Python, check out our resources for beginners . You can also visit Codecademy and DataQuest for free courses. 

Make sure you don’t confuse Python 2 vs Python 3 vs Node.js . It is important to understand both languages. However, learning Python 3 makes you the most up-to-date in the language.

Choose a Topic That Interests You

Don’t just start with any project. Browse around and find a topic that sounds interesting. Not only will you enjoy it more if it interests you, but fueling that curiosity will keep you motivated to see the project through.

Picking fun Python projects for beginners may make the difference between just starting and finishing a project. Oftentimes, new programmers practice by choosing a project that solves a daily problem.

Think about how well the project will fit into your overall goals. For example, if your career goal is to develop apps, create a simple web app project.

Conversely, if your career interest is in data science , find a project that will allow you to analyze a data set. In sum, there are plenty of cool Python project ideas. They can be fun and help you work towards your career goals or career track. 

Think Small to Make Big Gains

In other words, don’t choose a project that requires an expert skill level. Unless you really enjoy the pressure, choosing one that is too difficult early on will only stress you out. It’s okay to dream of a big goal, but recognize that each step of that goal needs to be divided into smaller steps.

Instead, start with easy Python projects first. Work your way up to bigger ideas, such as web and desktop applications, 3D games, or even social media platforms.

Python Projects for Beginner Developers: Games & Challenges

It is said that practice makes perfect. And, one is not an expert at anything until they have practiced for more than 10,000 hours. That may sound daunting, but don’t be discouraged. These simple games and challenges will help to boost your understanding and confidence. 

For more game ideas, check out the PyGame wiki for more Python tutorials and get typing away on that command line.

Here’s a list of nine great Python beginner projects:

Rock, Paper, Scissors Game

One of the most beloved games of all-time and a simple Python project to test your skills. Start by making it player vs computer. Skills used: Gain a better understanding of while loops and if statements.

Build a Twitter Bot

Want to engage your Twitter followers even when you’re offline working on other projects? You’ll need to sign up as a Twitter developer to do it, but don’t worry, it’s not as difficult as you’d think. 

Guess The Number

This could be a fun Python project for groups or events where a random generator is needed. It’s useful for conducting lotteries, board games, or just between players to guess a random number. Skills used: Getting familiar with the random function, variables, integers, print, if/else, and while loops.

MadLibs Generator

Remember that game we used to play as kids? The game where we would put silly words in blanks and laugh hysterically as it was read back to us?

With a Mad Libs generator, you can relive those hilarious moments. This generator allows you to work on a wide array of Python skills. Skills used: Strings, variables, concatenation, print.

Hangman  

Similar to generating a random number, this Python game substitutes a word where the user guesses the letters. You will also need to create a counter to count the number of guesses of the wrong letters. Skills used: Random library, boolean, input/output, char, string, and length.

Password Generator

Make a random password generator for your friends and family to keep their accounts secure! Skills used: Random library & sequencing.

Dice Roller

Similar to the “Guess the Number” game above, building a die roller can be used to play games. Or you can make one similar to a Magic 8-Ball to answer your most profound questions! Skills used: Random library, print, while loops.

Text-Based Adventure

This Python project is a simple quest game where the user can walk around different rooms and get a description of each one. You’ll set limits on how far characters walk, their direction, and how to track their location. Skills used: Variables, strings, input/output, if/else, print, and list.

Secret Cipher

Generate and decipher secret ciphers. This works well with a fellow programmer where one of you makes a cipher and the other deciphers the secret message. Skills used: Encryption methods.

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Python Projects for Intermediate Python Developers

Once you have an understanding of the Python programming language, take on more advanced projects. Intermediate projects use more technical skills. They require you to have an in-depth knowledge of Python. Even if these projects are more difficult to complete, you’ll learn a great deal from undertaking them.

Alarm Clock

Creating an alarm clock is a neat way to demonstrate your programming skills. It allows you to design something that gives you a specific notification at a designated time. Make your alarm clock more advanced by having it play music or a video at the time.

Tic-Tac-Toe

It’s time to take another step into python game development. Tic-Tac-Toe may be a simple game to play, but it isn’t as easy to program. The Pygame library is useful for this type of project. It comes with the modules necessary for sound and graphics.

Wikipedia Article Generator

In terms of what it does, this is a pretty simple program. However, it can get rather complicated. The point of the program is for it to find a random article on Wikipedia.

Next, the program asks the user if they want to see the article. If the user says yes, then the program displays it.

Python Projects for Advanced Python Developers

Finally, the next step towards testing your Python developer skills is through advanced projects. These projects take on more uncommon aspects of programming and development.

Don’t worry if you struggle with projects like these, even experienced developers have issues with advanced programs. Just take your time and try to learn something new with each one.

Create an MP3 Player

It’s time to ditch the CDs and start working on your own MP3 Player. This Python project involves creating a tool that plays audio files. The point is to create a user interface that emulates the physical music player. Once completed, you’ll have an MP3 Player that works on your computer or laptop.

Quiz Program

It’s quiz time! Take your Python skills to the next level by creating a quiz application. Quiz applications present a series of questions to users and give them a chance to answer. The quiz then gives the user results.

Experiment with your application. Design a quiz that responds immediately after a user gives an answer. Next, create a quiz where users only receive the results after the quiz is done. You can even put a timer on the quiz for each question.

Typing Test

Creating a typing test in Python allows you to develop a unique program. It tests your typing speed, allows you to create a GUI, and gives you a random sentence. It’s an advanced project, but it’ll teach you a lot about design.

Beginner Python Projects for Data Science

Here’s a list of free Python projects for beginners where you’re bound to find something that intrigues you and beckons you to dig deeper. With these, you can create a visually stunning data structure project to present to classmates, friends, colleagues, or anyone else!

These datasets can be used for neural networks, deep learning, and machine learning projects:

• FiveThirtyEight
• BuzzFeed News
• Kaggle (Includes Stack Overflow datasets)
• Academic Torrents
• UCI Machine Learning Repository

Python Web Development Projects for Beginners

A great place to get started is to check out Flask tutorials for building a simple, yet complete Python-based website. Flask doesn’t offer much guidance on the graphical user interface, but it will provide a strong foundation upon which you can build.

Udemy also offers a course on how to build 8 different web apps that is worth checking out! Additionally, check out these 12 project ideas for more ideas on beginner projects for web developers using Python.

Cryptography Concepts for Python Beginners

Cryptopals has several fun challenges for testing your cryptography skills. Challenges such as converting hex to base64, fixed XOR, single-byte XOR cipher, break repeating-key XOR, and more to start with. These challenges will gradually increase in complexity, so you’ll probably find yourself coming back again and again.

Automate Boring Tasks with Python Projects for Beginners

Let’s not sugarcoat it here. Sometimes Python programming involves several tasks that can appear mundane and repetitive. Fortunately, you can automate a lot of those dull tasks, freeing you up to work on more pressing tasks.

Save some time by automating things like:

• Search for text in a file or across multiple files
• Split, extract text, merge, watermark, and encrypt PDFs
• Send reminder emails and texts
• Create, update, move, and rename files and folders
• Update and format data in Excel spreadsheets
• Fill out online forms
• Search the Web and download online content

There is a free site called Automate the Boring Stuff where you can browse through these topics and more. You can also buy the book for future reference.

If you’re looking for some more guidance as you hone your coding ability, check out a programming bootcamp . You’ll complete various projects in a bootcamp that will can boost your programming skills and proficiency. Coding bootcamps are great options for people who may not have the time and money to commit to a degree program. In fact, there are even free coding bootcamps available.

With these fun Python project ideas, you can get important practice with Python while working towards your dream job. Start small, and work smart. Finally, pick a project that you think you can accomplish now, and keep building on your knowledge by practicing with new projects.

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Python Examples

The best way to learn Python is by practicing examples. This page contains examples on basic concepts of Python. We encourage you to try these examples on your own before looking at the solution.

All the programs on this page are tested and should work on all platforms.

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• Python Program to Check Prime Number
• Python Program to Add Two Numbers
• Python Program to Find the Factorial of a Number
• Python Program to Make a Simple Calculator
• Python Program to Print Hello world!
• Python Program to Find the Square Root
• Python Program to Calculate the Area of a Triangle
• Python Program to Solve Quadratic Equation
• Python Program to Swap Two Variables
• Python Program to Generate a Random Number
• Python Program to Convert Kilometers to Miles
• Python Program to Convert Celsius To Fahrenheit
• Python Program to Check if a Number is Positive, Negative or 0
• Python Program to Check if a Number is Odd or Even
• Python Program to Check Leap Year
• Python Program to Find the Largest Among Three Numbers
• Python Program to Print all Prime Numbers in an Interval
• Python Program to Display the multiplication Table
• Python Program to Print the Fibonacci sequence
• Python Program to Check Armstrong Number
• Python Program to Find Armstrong Number in an Interval
• Python Program to Find the Sum of Natural Numbers
• Python Program to Display Powers of 2 Using Anonymous Function
• Python Program to Find Numbers Divisible by Another Number
• Python Program to Convert Decimal to Binary, Octal and Hexadecimal
• Python Program to Find ASCII Value of Character
• Python Program to Find HCF or GCD
• Python Program to Find LCM
• Python Program to Find the Factors of a Number
• Python Program to Shuffle Deck of Cards
• Python Program to Display Calendar
• Python Program to Display Fibonacci Sequence Using Recursion
• Python Program to Find Sum of Natural Numbers Using Recursion
• Python Program to Find Factorial of Number Using Recursion
• Python Program to Convert Decimal to Binary Using Recursion
• Python Program to Add Two Matrices
• Python Program to Transpose a Matrix
• Python Program to Multiply Two Matrices
• Python Program to Check Whether a String is Palindrome or Not
• Python Program to Remove Punctuations From a String
• Python Program to Sort Words in Alphabetic Order
• Python Program to Illustrate Different Set Operations
• Python Program to Count the Number of Each Vowel
• Python Program to Merge Mails
• Python Program to Find the Size (Resolution) of an Image
• Python Program to Find Hash of File
• Python Program to Create Pyramid Patterns
• Python Program to Merge Two Dictionaries
• Python Program to Safely Create a Nested Directory
• Python Program to Access Index of a List Using for Loop
• Python Program to Flatten a Nested List
• Python Program to Slice Lists
• Python Program to Iterate Over Dictionaries Using for Loop
• Python Program to Sort a Dictionary by Value
• Python Program to Check If a List is Empty
• Python Program to Catch Multiple Exceptions in One Line
• Python Program to Copy a File
• Python Program to Concatenate Two Lists
• Python Program to Check if a Key is Already Present in a Dictionary
• Python Program to Split a List Into Evenly Sized Chunks
• Python Program to Parse a String to a Float or Int
• Python Program to Print Colored Text to the Terminal
• Python Program to Convert String to Datetime
• Python Program to Get the Last Element of the List
• Python Program to Get a Substring of a String
• Python Program to Print Output Without a Newline
• Python Program Read a File Line by Line Into a List
• Python Program to Randomly Select an Element From the List
• Python Program to Check If a String Is a Number (Float)
• Python Program to Count the Occurrence of an Item in a List
• Python Program to Append to a File
• Python Program to Delete an Element From a Dictionary
• Python Program to Create a Long Multiline String
• Python Program to Extract Extension From the File Name
• Python Program to Measure the Elapsed Time in Python
• Python Program to Get the Class Name of an Instance
• Python Program to Convert Two Lists Into a Dictionary
• Python Program to Differentiate Between type() and isinstance()
• Python Program to Trim Whitespace From a String
• Python Program to Get the File Name From the File Path
• Python Program to Represent enum
• Python Program to Return Multiple Values From a Function
• Python Program to Get Line Count of a File
• Python Program to Find All File with .txt Extension Present Inside a Directory
• Python Program to Get File Creation and Modification Date
• Python Program to Get the Full Path of the Current Working Directory
• Python Program to Iterate Through Two Lists in Parallel
• Python Program to Check the File Size
• Python Program to Reverse a Number
• Python Program to Compute the Power of a Number
• Python Program to Count the Number of Digits Present In a Number
• Python Program to Check If Two Strings are Anagram
• Python Program to Capitalize the First Character of a String
• Python Program to Compute all the Permutation of the String
• Python Program to Create a Countdown Timer
• Python Program to Count the Number of Occurrence of a Character in String
• Python Program to Remove Duplicate Element From a List
• Python Program to Convert Bytes to a String

Discover the best Python programming app in 2024

Lomit Patel

Minecraft starting tips: survive your first night & thrive, top minecraft tips to boost your survival skills.

You’ve always wanted to learn to code, but you’re unsure where to start. Maybe you’ve tried a few online tutorials, but they didn’t click. Or maybe you’re already a programmer but want to learn Python on the go. That’s where a Python programming app come in.

With the right app, you can learn Python from scratch or sharpen your skills whenever you have a few minutes to spare. But with so many apps out there, how do you choose the best one for you?

Don’t worry, I’ve got you covered. This post’ll explore the top Python programming apps for beginners and experienced coders alike. Get ready to level up your Python skills and have fun while you’re at it!Tab

Best Python IDEs and Code Editors for Programming

When it comes to Python programming, having the right tools can make all the difference. And one of the most important tools in your arsenal? A top-notch Python IDE (Integrated Development Environment) or code editor.

But with so many options out there, it can be tough to know where to start. That’s where I come in. As someone who’s been in the Python game for a while, I’ve tried my fair share of IDEs and editors. And let me tell you, finding the perfect one is like finding the perfect pair of shoes – it’s all about fit and personal preference.

PyCharm, Visual Studio Code, Sublime Text, Atom, Vim, Emacs, Spyder

Some of the heavy hitters in the Python IDE world include PyCharm , Visual Studio Code , Sublime Text , and Atom . These bad boys come loaded with features like code completion, syntax highlighting, and integrated debugging that make coding a breeze.

But don’t sleep on the classics like Vim and Emacs. These text editors may have a steeper learning curve, but they offer unparalleled customization and power. And for those of you in the scientific computing world, Spyder is a great option with its tight integration with Python’s scientific stack .

Essential Features to Look for in a Python IDE

Now, I know what you’re thinking – “But how do I choose the right one for me?” Fear not, my friend. I’ve got you covered with some essential features to look for.

Code navigation

First up, code navigation. You want an IDE that makes it easy to jump around your codebase, whether that’s through a handy file tree or lightning-fast search. Trust me, when you’re elbow-deep in a complex project, being able to quickly find what you need is a game-changer.

Intelligent code completion

Next on the list? Intelligent code completion. A good IDE will anticipate what you’re trying to type and offer suggestions, saving you precious keystrokes and reducing the risk of typos. It’s like having a trusty sidekick who’s always one step ahead.

Interactive shell

An interactive shell is another must-have. Being able to test out snippets of code in real-time is invaluable for debugging and experimentation. Plus, it’s just plain fun to see your code come to life before your eyes.

Smart code, additional features

Of course, there are plenty of other bells and whistles to consider, like smart code analysis, Git integration, and cross-platform support. But at the end of the day, the most important thing is finding an IDE that feels intuitive and helps you write better code faster.

Top Python Applications and Use Cases

Speaking of code, let’s talk about some of the cool things you can do with Python. Whether you’re into data science, web development , or game development , Python has you covered.

Scientific computing

In the world of scientific computing, Python is the go-to language for data analysis, visualization, and machine learning. Libraries like NumPy, Pandas, and Matplotlib make it easy to crunch numbers and create stunning visualizations. And with the rise of data science, Python’s popularity in this field shows no signs of slowing down.

Desktop applications

But Python isn’t just for scientists and data nerds. It’s also a great choice for building desktop applications, thanks to frameworks like PyQt and wxPython. These tools allow you to create slick, cross-platform GUIs that look and feel native on Windows, Mac, and Linux.

Network programming, automation scripts, testing and debugging

And let’s not forget about network programming, automation scripts, and testing and debugging. Python’s simplicity and versatility make it a natural fit for these tasks, and its extensive standard library means you rarely have to look far for the tools you need.

Getting Started with Python Programming

So you’re sold on Python and ready to dive in? Awesome. The first step is getting Python installed on your machine. Don’t worry, it’s painless – just head over to the official Python website and download the version for your operating system.

Installing Python

Once you’ve got Python up and running, it’s time to choose an IDE or code editor and start exploring. If you’re new to programming, I highly recommend starting with the basics: data types , control structures , functions , and modules .

Basic syntax, data types, control structures, functions, modules, file handling

Python has a clean, intuitive syntax that makes it easy to read and write, even for beginners. And with a wealth of online resources and a welcoming community, you’ll never feel lost or alone on your Python learning journey .

As you grow more comfortable with the language, you can start exploring more advanced topics like object-oriented programming, functional programming, and file handling. The possibilities are endless, and the only limit is your imagination.

So what are you waiting for? Dive into the wonderful world of Python programming and see where it takes you. With the right tools and a curious mind, there’s no telling what you might create. Happy coding.

Python Resources for Beginners and Advanced Developers

When I first started learning Python, I felt overwhelmed by the sheer amount of resources out there. But over time, I’ve discovered some go-to sources that have been absolute game-changers in my Python journey.

The official Python documentation is a must-have for any developer, beginner or advanced. It’s comprehensive, well-organized, and always up-to-date with the latest Python releases. I can’t tell you how many times I’ve referred back to it for a quick syntax check or to dive deeper into a module’s capabilities.

Online Communities and Tutorials

For those times when you’re stuck on a coding problem or need some inspiration, online communities like Stack Overflow and Reddit’s Python subreddit are lifesavers. The collective knowledge and willingness to help in these spaces never cease to amaze me.

GitHub is another treasure trove, housing countless Python projects you can learn from or contribute to. And when I want to expand my skill set, platforms like Coursera and Udemy offer high-quality Python courses for all levels.

YouTube tutorials have also been a huge help, especially when I’m tackling a new library or framework. There’s something about seeing the code in action that makes it click for me. Corey Schafer’s Python tutorials and his channel in general are fantastic resources I keep coming back to.

Comparing Popular Python IDEs and Code Editors

As I’ve progressed in my Python journey, I’ve experimented with various IDEs and code editors to find the perfect fit for my needs. It’s amazing how much a well-suited development environment can boost your productivity and enjoyment of the coding process.

PyCharm vs Visual Studio Code

For me, the battle often comes down to PyCharm vs Visual Studio Code. PyCharm is a powerhouse, packed with features like intelligent code completion, on-the-fly error highlighting, and integrated debugging. Its deep understanding of Python code is unparalleled. However, it can be resource-heavy and overwhelming for beginners.

On the other hand, VS Code is lightweight, fast, and highly customizable. Its Python extension provides excellent language support, and the vast library of extensions lets you tailor the editor to your exact needs. I appreciate VS Code’s versatility, as I can use it for Python and other languages without switching tools.

Other Notable Contenders

Atom and Sublime Text are also popular choices, loved for their speed and extensibility. Vim and Emacs, while not Python-specific, have dedicated followings for their power and flexibility. And for data science enthusiasts, Spyder and Jupyter Notebook offer unique features tailored to exploratory computing and visualization.

Ultimately, the “best” Python IDE or code editor depends on your individual needs and preferences. Don’t be afraid to try out a few and see which one feels most intuitive and enhances your workflow. You may even find yourself using different tools for different projects.

Python Mobile App Development

As someone who’s always on the go, I was thrilled to discover the world of Python mobile app development. It’s incredible to think that I can now create and run Python code right from my Android device.

One of the standout apps I’ve come across is Pydroid 3 . It’s a full-fledged IDE that supports syntax highlighting, code completion, and even debugging. The integrated Python interpreter lets you execute code directly on your device, making it perfect for learning and experimentation.

Other Python Apps for Android

QPython is another excellent option, offering a comprehensive development environment and a vast library of pre-installed modules. It even includes a built-in editor and console, making it easy to write and run scripts on the fly.

For a more streamlined experience, Pyonic interpreter focuses on providing a simple yet powerful Python shell. It’s perfect for quick calculations, testing snippets, or running short scripts without the overhead of a full IDE.

While Python mobile app development is still a relatively niche field, frameworks like Kivy and BeeWare are making it easier than ever to create cross-platform apps using Python. With these tools, you can write your code once and deploy it on Android, iOS, and even desktop platforms.

As mobile devices continue to grow in power and versatility, I’m excited to see how Python app development evolves. The ability to code on the go opens up new possibilities for learning, prototyping, and creating tools that can make a real difference in people’s lives

Learning Python has never been easier thanks to the amazing programming apps out there. From fresh beginners to seasoned coders, everyone has an app that can kick their skillset into higher gear.

From interactive lessons to coding challenges, these apps make learning Python fun and engaging. You can learn at your own pace, whenever and wherever you want. And with the ability to code right on your phone or tablet, you’ll be writing Python scripts in no time.

So what are you waiting for? Download one of these top Python programming apps today and start your coding journey. Who knows where it might take you – maybe you’ll build the next big app or land your dream job in tech. The possibilities are endless with Python at your fingertips.

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Creative Coding in Python: 30+ Programming Projects in Art, Games, and More Paperback – Illustrated, December 18, 2018

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• Chatbots: Discover variables, strings, integers, and more to design conversational programs.
• Geometric art: Use turtle graphics to create original masterpieces.
• Interactive fiction: Explore booleans and conditionals to invent "create your own adventure" games.
• Dice games: Reuse code to devise games of chance.
• Arcade games and apps: Understand GUI (graphical user interfaces) and create your own arcade games and apps.
• What's next? Look at exciting ways to use your powerful new skills and expand your knowledge of coding in Python.  
• Reading age 10 - 12 years
• Print length 144 pages
• Language English
• Grade level 5 - 7
• Dimensions 8 x 0.75 x 10.1 inches
• Publisher Quarry Books
• Publication date December 18, 2018
• ISBN-10 1631595814
• ISBN-13 978-1631595813
• See all details

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Editorial Reviews

About the author.

Sheena Vaidyanathan teaches a Python-based computer science class to 11- to 13-year-olds and is the Computer Science Integration Specialist in the Los Altos School District, in Los Altos, California, where she has also designed computer science curricula, conducted professional development for the K–8 STEM program, and taught pre-algebra, digital design, and visual art. Vaidyanathan is also the program director for the computer science professional development programs at Krause Center for Innovation, Foothill College, where she teaches teachers to code in Python, Scratch, and other languages. Over the years, hundreds of students and teachers have learned to code in her classes. She shares her many years of experience teaching coding by writing articles, presenting at conferences, and providing best practices and student work on her personal website, computersforcreativity.com. Prior to teaching, Vaidyanathan worked in Silicon Valley for more than 10 years as a computer scientist and technology entrepreneur. She lives in Los Altos, California.

Product details

• Publisher ‏ : ‎ Quarry Books; Illustrated edition (December 18, 2018)
• Language ‏ : ‎ English
• Paperback ‏ : ‎ 144 pages
• ISBN-10 ‏ : ‎ 1631595814
• ISBN-13 ‏ : ‎ 978-1631595813
• Reading age ‏ : ‎ 10 - 12 years
• Grade level ‏ : ‎ 5 - 7
• Item Weight ‏ : ‎ 2.31 pounds
• Dimensions ‏ : ‎ 8 x 0.75 x 10.1 inches
• #6 in Teen & Young Adult Computer Software Books
• #10 in Teen & Young Adult Computer Programming
• #510 in Python Programming

About the author

Sheena vaidyanathan.

Sheena Vaidyanathan teaches a Python based computer science class to 11-13 year olds and is the Computer Science Integration Specialist in the Los Altos School District, in Los Altos, California, where she has also designed computer science curricula, conducted professional development for the K–8 STEM program, and taught pre-algebra, digital design, and visual art. She is also the program director for the computer science professional development programs at Krause Center for Innovation, Foothill College where she teaches teachers to code in Python, Scratch and other languages. Over the years, hundreds of students and teachers have learned to code in her classes. She shares her 9 years of experience teaching coding by writing articles, presenting at conferences, and providing best practices and student work on her personal website, computersforcreativity.com. Prior to teaching, Vaidyanathan worked in Silicon Valley for more than 10 years as a computer scientist and technology entrepreneur. She lives in Los Altos, California.

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Out of the Centre

Savvino-storozhevsky monastery and museum.

Zvenigorod's most famous sight is the Savvino-Storozhevsky Monastery, which was founded in 1398 by the monk Savva from the Troitse-Sergieva Lavra, at the invitation and with the support of Prince Yury Dmitrievich of Zvenigorod. Savva was later canonised as St Sabbas (Savva) of Storozhev. The monastery late flourished under the reign of Tsar Alexis, who chose the monastery as his family church and often went on pilgrimage there and made lots of donations to it. Most of the monastery’s buildings date from this time. The monastery is heavily fortified with thick walls and six towers, the most impressive of which is the Krasny Tower which also serves as the eastern entrance. The monastery was closed in 1918 and only reopened in 1995. In 1998 Patriarch Alexius II took part in a service to return the relics of St Sabbas to the monastery. Today the monastery has the status of a stauropegic monastery, which is second in status to a lavra. In addition to being a working monastery, it also holds the Zvenigorod Historical, Architectural and Art Museum.

Belfry and Neighbouring Churches

Located near the main entrance is the monastery's belfry which is perhaps the calling card of the monastery due to its uniqueness. It was built in the 1650s and the St Sergius of Radonezh’s Church was opened on the middle tier in the mid-17th century, although it was originally dedicated to the Trinity. The belfry's 35-tonne Great Bladgovestny Bell fell in 1941 and was only restored and returned in 2003. Attached to the belfry is a large refectory and the Transfiguration Church, both of which were built on the orders of Tsar Alexis in the 1650s.  

To the left of the belfry is another, smaller, refectory which is attached to the Trinity Gate-Church, which was also constructed in the 1650s on the orders of Tsar Alexis who made it his own family church. The church is elaborately decorated with colourful trims and underneath the archway is a beautiful 19th century fresco.

Nativity of Virgin Mary Cathedral

The Nativity of Virgin Mary Cathedral is the oldest building in the monastery and among the oldest buildings in the Moscow Region. It was built between 1404 and 1405 during the lifetime of St Sabbas and using the funds of Prince Yury of Zvenigorod. The white-stone cathedral is a standard four-pillar design with a single golden dome. After the death of St Sabbas he was interred in the cathedral and a new altar dedicated to him was added.

Under the reign of Tsar Alexis the cathedral was decorated with frescoes by Stepan Ryazanets, some of which remain today. Tsar Alexis also presented the cathedral with a five-tier iconostasis, the top row of icons have been preserved.

Tsaritsa's Chambers

The Nativity of Virgin Mary Cathedral is located between the Tsaritsa's Chambers of the left and the Palace of Tsar Alexis on the right. The Tsaritsa's Chambers were built in the mid-17th century for the wife of Tsar Alexey - Tsaritsa Maria Ilinichna Miloskavskaya. The design of the building is influenced by the ancient Russian architectural style. Is prettier than the Tsar's chambers opposite, being red in colour with elaborately decorated window frames and entrance.

At present the Tsaritsa's Chambers houses the Zvenigorod Historical, Architectural and Art Museum. Among its displays is an accurate recreation of the interior of a noble lady's chambers including furniture, decorations and a decorated tiled oven, and an exhibition on the history of Zvenigorod and the monastery.

Palace of Tsar Alexis

The Palace of Tsar Alexis was built in the 1650s and is now one of the best surviving examples of non-religious architecture of that era. It was built especially for Tsar Alexis who often visited the monastery on religious pilgrimages. Its most striking feature is its pretty row of nine chimney spouts which resemble towers.

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