19 Python Projects for Beginners [2025]

Python projects are hands-on programs that you build to practice coding skills and create something for your portfolio. 

They are a great way to learn Python because you actually use code to solve real problems.

In this guide, you’ll find 19 beginner-friendly Python projects for any taste—from building simple games to creating AI-powered apps. Each project comes with source code, step-by-step instructions, and clear explanations.

Jump to the one you like the most, or keep reading:

1. To-Do List App
2. Food Order System
3. Word Raider
4. Roguelike Game
5. Python Full-Stack E-Commerce
6. Star Wars API
7. Word Guessing Game
8. Transaction Analyzer
9. Python Chatbot
10. Star Wars Survey
11. Simple Blockchain
12. Weight Converter
13. Contact Address Book
14. Prison Break
15. Payment Receipt Generator
16. File Organizer
17. Image Classifier
18. Stock Price Predictor
19. Spam Email Detection

Are you ready for Python projects?

You don’t need to be a Python expert to start building projects. 

However, you should first know the basics of Python programming, such as how to write and run simple code and use functions.

If you’re not there yet, we recommend taking a Python basics course that teaches you fundamentals through practice and theory. 

For example, you can try Mimo’s Python Career Path and access both Python learning and real-world projects.

Now, let’s go over the best Python projects you can build once you have mastered the basics.

Best overall Python projects for beginners

Here are our favorite Python projects for beginners, ranging from super simple to more challenging ones. Some require only basic Python knowledge, while others are better suited for those with more experience. 

We’ve also included links to the source code and instructions to help you build them.

1. The To-Do List App 

• Best for: First-time Python programmers who want to build something practical. You’ll need basic Python knowledge of lists and functions.

The To-Do List App lets users add, remove, and manage their tasks through a simple interface. 

On Mimo’s learning platform, you’ll create a simple application that allows users to add, remove, and manage their tasks. 

The project begins with basic task management and grows more complex as you add features. You can expand it by adding due dates, categories, or even saving tasks to a file so they don’t disappear when you close the program.

Since this is part of Mimo’s career path, you’ll get interactive coding exercises, instant feedback, and project guidance all in one place. Plus, you’ll be able to add this project to your GitHub portfolio along with 7 other projects you’ll build throughout the course.

Skills developed:

• Working with Python lists (adding, updating, and deleting items)
• Handling user input and basic error-checking
• Building a simple menu interface
• Understanding program flow and basic app logic

2. The Food Order System

• Best for: Beginners who’ve completed the Lists module in Mimo’s Python AI Developer Career Path. You’ll build this in the Functions section, with step-by-step guidance.

The Food Order System project is also available via Mimo’s Python Career Path. 

It teaches you how to create a working food-ordering application. In part one, you’ll build a basic Italian food ordering system for pizzas and pasta. 

Then, in part two, you’ll expand it to include more cuisines, making the system more complex and feature-rich.

Like all Mimo projects, you’ll write this code directly within the interactive platform. The project is broken down into manageable chunks, teaching you how functions and object-oriented programming work in a real-world context. 

Skills developed:

• Defining and utilizing Python functions effectively
• Managing data flow in an application
• Building user-friendly interfaces
• Working with multiple menu options and prices
• Object-oriented programming basics

3. Word Raider

• Best for: Python beginners who want to build their first game while practicing core programming concepts.

Word Raider is an interactive word-guessing game where you’ll use fundamental Python concepts like loops, conditionals, and file handling. 

You’ll start by setting up a word bank, then build the game logic to process user guesses and provide feedback.

The step-by-step process helps you understand how each piece of code contributes to the final game, making it perfect for learning while building something fun.

Skills developed:

• String manipulation and list operations
• Using loops and conditional statements
• Reading and handling files
• Creating interactive user experiences
• Building game logic step by step

4. Roguelike Game

• Best for: Beginners who want to create their first real game and learn game development basics using Python and TCOD library.

The “Yet Another Roguelike Tutorial” walks you through building a roguelike game (think dungeon crawler) from scratch in 13 parts. 

Like in many other beginner projects, you’ll start with basic setup and gradually add features like dungeon generation, combat systems, and character movement. 

The project is broken into multiple manageable chunks, so you won’t get overwhelmed.

Skills developed:

• Game development fundamentals
• Working with external libraries (TCOD)
• Creating game maps and dungeons
• Building combat and inventory systems
• Implementing saving/loading features

5. Python Full-Stack E-Commerce Project

• Best for: Beginners who know Python basics and want to build their first complete web application using Django. 

This project teaches you how to create a complete e-commerce website using Python and Django. You’ll build everything from user authentication to product listings and shopping carts.

The tutorial includes video guidance and source code, making it easier to follow along. 

You’ll learn how real e-commerce sites work and get hands-on experience with web development concepts that employers look for.

Skills developed:

• Full-stack web development with Django
• Database management
• User authentication
• Shopping cart functionality
• Payment processing
• Deployment basics

6. Star Wars API

• Best for: Beginners learning to work with APIs in Mimo’s Python AI Developer Career Path.

The Star Wars API project lets you interact with real-world data from the Star Wars universe. 

You’ll learn to fetch character data from an API, let users choose how many characters to download, and explore the information.

You’ll also get instant feedback as you figure out how to make HTTP requests, handle JSON data, and create user interfaces. 

Skills developed:

• Making HTTP requests with Python
• Working with JSON data
• Handling user input and errors
• Formatting and displaying API data
• Using Python’s requests library

7. Word Guessing Game in Python

• Best for: Complete beginners who want to build their first Python game while learning core concepts.

This word-guessing game works like Hangman—players try to guess a word one letter at a time. Users get 12 attempts to guess the word correctly.

You’ll create the game logic, track player guesses, and provide feedback on correct and incorrect answers.

You’ll also use Python’s random module to select words from a list, handle user input for guesses, and create simple game mechanics. 

It’s a great way to practice Python basics while building something fun and playable.

Skills developed:

• Working with strings and lists
• Using loops and conditionals
• Random number generation
• User input handling
• Basic game logic creation

8. Transaction Analyzer

• Best for: Beginners learning data analysis in Mimo’s Python AI Developer Career Path.

The Transaction Analyzer project is also available via Mimo. It’s a tool that helps users track their spending by analyzing bank transactions. 

You’ll build a system that processes transaction data, categorizes expenses, spots trends, and gives insights into spending habits.

By the end, you’ll have a working financial analysis tool that can process transactions and show spending patterns.

Skills developed:

• String manipulation for data processing
• List operations for data filtering
• Function creation for reusable code
• Working with dates and numbers
• Basic data analysis techniques

9. Python Chatbot Project

• Best for: Beginners who want to try AI and natural language processing with Python.

This chatbot project uses deep learning to understand and respond to user messages. You’ll build a chatbot that can classify user messages into categories and give relevant responses. 

The project uses NLTK and Keras libraries to handle natural language processing.

You’ll learn how chatbots work by training a neural network on a dataset of intents, patterns, and responses. 

Even though it uses complex AI concepts, the tutorial breaks everything down into easy-to-follow steps.

Skills developed:

• Basic natural language processing
• Working with external libraries
• Training simple neural networks
• Processing and cleaning text data
• Building conversational interfaces

10. Star Wars Survey

• Best for: Beginners who want to try data analysis with real-world information using Python and pandas.

In this project, you’ll analyze survey data from FiveThirtyEight about Star Wars fans. 

It teaches you how to handle actual survey responses and turn them into useful insights. You’ll use Python and Pandas to clean messy data, map values, and find out which Star Wars films people like most. 

The tutorial guides you through each step—from cleaning yes/no answers to finding the highest-rated movies. 

Skills developed:

• Data cleaning with pandas
• Working with survey data
• Converting data types
• Computing basic statistics
• Analyzing data by demographics
• Creating data insights

Best free Python projects for beginners

While there’s a mix of paid and free projects throughout this guide, here are a few more completely free projects we love. Each also comes with detailed tutorials and guidance to help you build them from start to finish.

11. Build a Simple Blockchain in Python

• Best for: Beginners who know basic Python and want to understand how blockchain works through coding.

This project helps you understand blockchain technology by building a simple one yourself. 

You’ll create a chain of blocks that can store any type of data, connected using hashes. The tutorial assumes you know some Python basics and understand how HTTP requests work.

The project uses Flask for creating HTTP endpoints and the Requests library to interact with your blockchain, showing you how real blockchain applications work.

Skills developed:

• Understanding blockchain basics
• Working with Flask web framework
• Making HTTP requests
• Handling JSON data
• Basic cryptography concepts

12. Python Weight Converter

• Best for: Complete beginners who want to build their first program with a graphical user interface (GUI)—meaning windows, buttons, and text boxes users can click on.

The Weight Converter lets users convert weights between different units—like kilograms to ounces, pounds, and grams. You’ll create a simple window with input fields and conversion buttons using Python’s Tkinter library.

This project shows you how to make a basic program with a visual design instead of just text commands. You’ll build a simple but useful tool that anyone can use to convert weights.

Skills developed:

• Creating programs with clickable buttons
• Making text boxes for user input
• Handling button clicks
• Performing weight calculations
• Basic screen layout design

13. Contact Address Book Project

• Best for: Beginners who want to build their first program that saves and manages data with a visual interface.

The Contact Address Book lets you store and manage contact information like names and phone numbers. 

You’ll create a program where users can add new contacts, edit existing ones, delete entries, and view their contact list. 

This project also uses Python’s Tkinter library to create a window-based program with buttons and menus. But unlike simpler options, this one teaches you how to save data permanently—your contacts will still be there when you restart the program. 

Skills developed:

• Creating programs with buttons and menus
• Storing and managing data
• Building search functions
• Making forms for user input
• Basic data organization

14. Prison Break

• Best for: Beginners who want to try data analysis with a unique real-world dataset.

The Prison Break project uses actual data about helicopter prison escapes. You’ll work in Jupyter Notebook to explore when and where these escapes happened. 

The project guides you through cleaning the data, finding patterns, and creating a story from your findings.

You’ll learn how data analysts work with real datasets—from loading messy data to discovering trends like which years had the most escape attempts. 

It’s a fun way to learn serious data analysis skills.

Skills developed:

• Using Jupyter Notebook
• Cleaning and organizing data
• Finding patterns in dates
• Creating data summaries
• Basic data visualization
• Telling stories with data

15. Payment Receipt Generator

• Best for: Beginners who want to create a practical business-oriented tool for generating PDF documents with Python.

This project helps you create professional-looking payment receipts using Python’s reportlab library. 

You’ll build a program that takes payment details and turns them into properly formatted PDF receipts. Which can be useful for any business that needs to give customers proof of payment.

The tutorial shows you how to work with PDFs in Python, covering creating the basic layout, adding payment details in the right spots, etc.

Skills developed:

• Working with PDF files in Python
• Creating document templates
• Formatting text and numbers
• Handling dates and currencies
• Basic document design

16. Python File Organizer App

• Best for: Beginners who want to automate a common computer task using Python.

The Python File Organizer project teaches you to build a program that automatically sorts files into folders based on their type. Like moving all images to an Images folder and documents to a Documents folder.

It’s a great way to learn how Python can automate boring tasks and keep your computer organized without manual work.

Skills developed:

• Working with files and folders
• Automating repetitive tasks
• Identifying file types
• Creating and managing directories
• Basic file system operations

Best AI Python projects for beginners

Finally, we added some extra beginner-friendly AI projects that’ll help you master machine learning basics. 

Improving your AI skills is especially important in 2025, and this trend will continue to grow. So, we recommend checking these projects out once you acquire enough beginner Python skills.

17. Image Classifier 

• Best for: Beginners who want to build their first AI project that can tell real photos from AI-generated ones.

The AI Image Classifier Python project helps you build an AI tool that spots the difference between real and artificial images. 

Using machine learning and TensorFlow, you’ll create a program that can analyze photos and determine if they were made by AI or taken with a camera. 

This project may seem complex, but the tutorial simplifies it into manageable steps. 

You’ll work with about 100,000 images to train your model, learning core machine learning concepts along the way.

Skills developed:

• Basic machine learning concepts
• Working with image data
• Using TensorFlow library
• Training AI models
• Processing large datasets

18. Stock Price Predictor

• Best for: Beginners interested in financial data and machine learning with Python.

In this project, you’ll build a program that predicts future stock prices using historical data. 

You’ll create a machine learning model that looks for patterns in past stock performance to make predictions about future prices, using Google stock data as an example.

It’s a great way to learn how AI can analyze financial data while building a functional prediction tool. 

The project also uses popular Python libraries and real market data to show you how machine learning works with time-based information.

Skills developed:

• Working with financial data
• Time series analysis
• Using machine learning for predictions
• Data visualization
• Basic market analysis

19. Spam Email Detector

• Best for: Beginners who want to try AI text analysis and build something useful.

Finally, the Spam Email Detector project teaches you to build an AI program that can spot spam emails using the Naive Bayes approach. 

Your application will learn to identify spam emails by analyzing their content and patterns, just as email providers do.

It’s an excellent way to learn how to process text data and train an AI model to make decisions. 

Skills developed:

• Text processing
• Basic AI classification
• Working with email data
• Training machine learning models
• Data cleaning and preparation

How to find more beginner Python project ideas 

Building projects is essential if you want to learn Python, but finding the right idea can be tricky. 

The guided projects we shared can be a great starting point. 

But as you progress, you can also come up with your own ideas and build a portfolio with real-world projects. Here are some tips on how to do it:

• Automate your work tasks: Look at repetitive things you do at work—like renaming hundreds of files, updating spreadsheets, or generating reports. Build a Python script to do these tasks for you.

• Build tools for others: Ask your colleagues or friends what takes too much time in their work or studies. A marketer might need help downloading campaign data, or a teacher could use a tool for grading assignments. Real problems make great projects.

• Start with hobbies: For example, are you into photography? Build a tool to rename and organize photos. 

• Improve tutorial projects: You can also build on the tutorial projects by adding more features. For instance, take a basic calculator and add scientific functions, or upgrade a weather app to show weekly forecasts.

• Use ChatGPT (or another AI chatbot) for ideas: Tell ChatGPT about your job and interests: “I’m a marketer learning Python. What could I automate?” or “I love chess and want to build my first Python project.” It will suggest specific projects matching your background.

FAQs

What are Python projects for beginners?

Beginner Python projects are simple programs that help you practice basic coding concepts.  Think To-Do lists, calculators, or simple games—projects that solve real problems without complex code.

What is the easiest project in Python?

When starting with Python projects, focus on simple programs that you can finish in a few hours. It could be things like games, calculators, or basic automation scripts. These teach you core concepts while giving you the satisfaction of completing something useful.

When can you start building Python projects?

You don’t need to wait until you’ve mastered Python. Once you understand how to use variables, write basic functions, work with lists, and use if-statements and loops, you are ready to start building beginner projects. 

Develop real-world Python skills

We’ve covered 19 Python projects for different skill levels and interests, from simple games to AI applications. 

However, this is just the beginning—there are countless other projects you could build.

Want structured guidance while you learn? Try Mimo’s Python Development Path. You’ll:

• Build 8 portfolio-ready projects
• Learn through practical, interactive coding
• Get instant feedback as you code
• Create a GitHub portfolio to show employers
• Earn a completion certificate