Python Projects for Beginners to Advanced: 100+ Ideas (2026)

By Mike Levy · Updated July 11, 2026

Originally published October 23, 2025

Completing Python projects is one of the most effective ways to learn the language. Projects force you to apply what you learn immediately, which means you actually retain it.

This list has 100+ projects across every skill level, from timeless beginner fundamentals to more complete portfolio projects using newer tools like local LLMs, RAG pipelines, and AI APIs. We grouped them by the skills learners typically need next: core syntax, files and APIs, data work, web apps, automation, and AI systems.

Table of Contents

• Beginner Python Projects
  • Guided Beginner Projects
  • Fun Python Projects for Beginners
  • Practical Python Projects for Beginners
  • Beginner Python Project Ideas
• Intermediate Python Projects
  • Guided Intermediate Projects
  • Fun Python Projects for Intermediate Learners
  • Intermediate Python Project Ideas
• Advanced Python Projects
  • Guided Advanced Projects
  • Challenging Python Projects for Advanced Learners
  • Advanced Python Project Ideas
• Next Steps

Beginner Python Projects

These beginner Python projects are designed to help you build confidence while practicing fundamental programming concepts.

Assumes basic familiarity with Python syntax: variables, loops, and functions. Most projects can be completed in an afternoon to a few hours.

Guided Beginner Projects (Free w/ Signup)

If you prefer learning with structure, these guided projects walk you through each step of the process. You'll get hands-on experience using Python to solve real problems, with enough support to keep moving forward. And they're all free.

1. Building an Interactive Word Game — Build a fully functional word-guessing game using core Python concepts.
2. Profitable App Profiles for the App Store and Google Play Markets — Work as a data analyst for a company that builds mobile apps. You'll use Python to analyze real app market data to find app profiles that attract the most users.
3. Exploring Hacker News Posts — Use Python string manipulation, OOP, and date handling to analyze trends driving post popularity on Hacker News, a popular technology site.
4. Exploring eBay Car Sales Data — Use Python to work with a scraped dataset of used cars from eBay Kleinanzeigen, a classifieds section of the German eBay website.
5. Building a Text-Based Garden Simulator — Build an interactive game where players plant, tend, and harvest virtual crops. You'll put object-oriented programming, error handling, and randomness to work to bring the world to life.
6. Building a Food Ordering App — Create a functional application using Python dictionaries, loops, and functions to build an interactive system for viewing menus, modifying carts, and placing orders.

Fun Python Projects for Beginners

Learning Python doesn't have to feel like homework. These beginner-friendly projects focus on building something enjoyable while reinforcing key programming concepts along the way.

7. Find out How Much Money You've Spent on Amazon — Dig into your own spending habits with this beginner-level tutorial.
8. Analyze Your Personal Netflix Data — A beginner-to-intermediate tutorial that gets you working with your own personal dataset.
9. Analyze Survey Data — This walk-through shows you how to set up Python and filter survey data from any dataset (or just use the sample data linked in the article).
10. Rock, Paper, Scissors — Learn Python with a simple-but-fun game that everybody knows.
11. Build a Text Adventure Game — A classic Python beginner project (it also pops up in this book) that'll teach you many basic game setup concepts useful for more advanced games.
12. Guessing Game — This will help you learn and practice the basics.
13. Mad Libs — Use Python to make interactive Mad Libs.
14. Building a Calculator App — Build a simple command-line calculator that asks users for two numbers and an operation, then prints the result. This easy project helps you practice functions, user input, conditionals, and basic arithmetic.
15. Building a To-Do List App — Build a simple console-based to-do list where users can add, view, and remove tasks from a menu. This beginner project helps you practice lists, loops, conditionals, user input, and basic error handling.
16. Password Generator — Build a random 8-character password in Python.
17. Build an Address Book — This could start with a simple Python dictionary or become as advanced as you'd like.
18. Fun Fact Generator — Create a small app that fetches and displays a random fun fact from a public API every time it runs. A quick, satisfying project that gets you comfortable making HTTP requests and working with external data sources.
19. Morse Code Translator — Build a tool that converts plain text into Morse code and back using a dictionary lookup. Short enough to finish in an afternoon, and teaches string iteration and dictionary lookups in a memorable way.
20. Analyze Everything: Grab a free dataset that interests you and start poking around. If you're not sure where to start, our Python courses are here to help.

Practical Python Projects for Beginners

21. Automating File Organization — Use Python to automatically sort files into folders based on type, name, or date.
22. File Search Tool — Create a tool that searches your computer for files based on name or type. Helps you work with directories and file traversal in Python.
23. Countdown Timer — Use Python's time module to build a timer that counts down from a user-specified number of seconds. A great beginner project for getting comfortable with while loops and basic time manipulation.
24. Web Scraping Basics with BeautifulSoup — Use BeautifulSoup and requests to scrape news headlines and save them to a CSV. A great introduction to pulling real data from the web.
25. Expense Tracker with SQLite — Build a simple app to log income and expenses to a local database. A practical project you'll actually want to use. Slightly more challenging than most beginner projects.
26. Currency Converter — Build a tool that takes an amount and two currency codes and converts between them using a free exchange rate API. A low-pressure first taste of working with APIs and handling JSON data.
27. Trivia Quiz Game — Build a multiple-choice quiz that asks the user a series of questions, checks their answers, and displays a score at the end. Great for practicing dictionaries, conditionals, and input/output flow.
28. Banking Program — Simulate a basic bank account with deposits, withdrawals, and balance checks. A great exercise for learning about functions, with a beginner-friendly tutorial that walks you through the whole thing.

Beginner Python Project Ideas

Looking for inspiration rather than step-by-step instructions? These beginner project ideas encourage you to experiment, solve problems independently, and strengthen your Python skills through practice.

29. Create a text encryption generator. Take text as input, replace each letter with another letter, and output the "encoded" message.
30. Build a countdown calculator. Write code that takes two dates as input and calculates the amount of time between them. A great way to familiarize yourself with Python's datetime module.
31. Word Counter. Write a program that asks the user for a paragraph, splits it into words, and counts how often each word appears. This is a clean beginner project for practicing strings, loops, dictionaries, and basic text processing.
32. Write a sorting method. Given a list, can you write some code that sorts it alphabetically or numerically? Start by comparing two items at a time, then loop through the list until everything is in order. Python has this built in, but try to do it without using the sort() function.
33. Build an interactive quiz application. Which Avenger are you? Build a personality quiz that asks users some questions, stores their answers, and calculates a personalized result.
34. Make a temperature/measurement converter. Write a script that converts Fahrenheit to Celsius and back, or inches to centimeters. How far can you take it?
35. Build a counter app. Take your first steps into UI by building a simple app that counts up by one each time a user clicks a button. Try building it with Tkinter or PyQt.
36. Build a number-guessing game. Think of it as a text adventure, but with numbers. How would you add a "Get a Hint" option?
37. Build an alarm clock. This is borderline beginner/intermediate, but worth attempting. Can you create different alarms? A snooze function?

Intermediate Python Projects

Once you're comfortable with Python fundamentals, intermediate projects help you tackle more complex concepts, work with larger datasets, and build applications with greater functionality.

Assumes comfort with Python fundamentals and some experience with libraries like pandas or requests.

Guided Intermediate Projects (Free w/ Signup)

These projects strike a balance between guidance and independent problem-solving. You'll apply your Python knowledge to realistic scenarios and develop the confidence to build more sophisticated applications.

38. Predicting Heart Disease — Use a UCI heart disease dataset to build a model that predicts patient risk. A compelling project that shows real-world ML impact.
39. Analyzing Accuracy in Data Presentation — Step into the role of a data journalist to analyze movie ratings data and determine if there's evidence of bias in Fandango's rating system.
40. Finding Heavy Traffic Indicators on I-94 — Use pandas' plotting functionality alongside Jupyter Notebook to quickly visualize data and identify what drives heavy traffic on I-94.
41. Clean and Analyze Employee Exit Surveys — Work with exit surveys from employees of the Department of Education in Queensland, Australia. Play the role of a data analyst to uncover insights about why employees resign.
42. Credit Card Customer Segmentation — Play the role of a data scientist at a credit card company to segment customers into groups using K-means clustering in Python, allowing the company to tailor strategies for each segment.
43. Developing a Dynamic AI Chatbot — Create your own AI-powered chatbot that can take on different personalities, track conversation history, and provide coherent responses.

Fun Python Projects for Intermediate Learners

Ready to expand your skill set? These intermediate projects introduce new tools, frameworks, and techniques to bridge the gap between beginner exercises and advanced development.

44. Hangman — A childhood classic that makes for a satisfying intermediate build.
45. QR Code Generator — A small tool that solves a real problem in 30 to 90 minutes — great for building confidence in Python fast.
46. Snake — More involved than most intermediate projects, but a classic (and surprisingly fun) game to build and play.
47. URL Shortener — This free video course shows you how to build your own URL shortener like Bit.ly using Python and Django.
48. Tic-Tac-Toe — Build the classic two-player game in the command line, with a printed board and win detection. One of the best projects for practicing lists, loops, nested conditionals, and basic game logic all at once.
49. Tetris — Recreate the iconic falling-block puzzle game using Python and the Pygame library. More involved than most intermediate projects, but dedicated tutorials walk you through every step.
50. Build a Simple Web Page with Django — A thorough from-scratch tutorial for building a website with Python and Django, with cartoon illustrations throughout.
51. Creating a Portfolio Backend with Python — Build the backend for a personal portfolio website using Python. You'll learn how to serve content, handle requests, and structure a web application.
52. Create a Crypto App with Python — This free video course walks you through using APIs and Python to build apps with cryptocurrency data.
53. Use Python to Build a Discord Bot — More advanced than most intermediate projects. It introduces APIs, event-driven programming, and authentication — but a practical way to learn how Python interacts with real users and messages.
54. Building a Notes App — Build a web-based notes app with Django where users can create and manage notes. This project introduces models, views, authentication, and basic web app structure.
55. Building a Text Editor — Create a simple text editor with open, edit, and save functionality. Helps you understand UI components and file operations.
56. Analyze Your Personal Facebook Data with Python — Find out how much time you're actually spending on Facebook. A beginner-to-intermediate project that gets you working with your own exported data.
57. Sending Automated Emails — Build a Python script that sends emails automatically using SMTP. Introduces working with external services, scheduling tasks, and automating communication. Note that email providers like Gmail require app passwords or OAuth setup (the RealPython tutorial linked above covers this).
58. Building a Weather App with an API — Use Python to fetch real-time weather data from an API and display it in a simple app. Practice sending requests, handling JSON responses, and working with external data.
59. Automating File Backups — Create a script that automatically backs up important files and folders. Introduces reliability and data safety concepts.
60. Blackjack Game — Build a fully playable card game with betting logic, hand evaluation, and a simple UI. A strong portfolio piece that tests your grasp of OOP and edge cases.
61. OCR: Extract Text from Images — Use OpenCV and Tesseract to pull text out of images automatically. A practical project that introduces computer vision without needing any machine learning.
62. AI-Powered Commit Message Generator — Use GPT to auto-generate Git commit messages from your diffs. A genuinely useful tool that teaches API use and subprocess handling.
63. Streamlit ML Web App — Turn a machine learning model into an interactive web app where users can tweak settings and see results in real time. No front-end experience needed.
64. Morning Briefing Bot — Build a scheduled weather alert that fetches forecast data from an API and sends it by email.
65. Astronomy Picture of the Day Wallpaper Setter — Fetch NASA's free daily astronomy image and set it as your desktop wallpaper automatically. Only compatible with Windows.
66. Study Notes Audio Pipeline — Feed a text file into a text-to-speech API and get back an MP3 you can listen to on your commute.
67. Auto-Flashcard Generator — Paste in lecture notes, send them to an LLM, and get back question-and-answer cards exported as a CSV or Anki-compatible file.

Intermediate Python Project Ideas

Challenge yourself without following a tutorial. These Python project ideas give you room to explore new concepts and build solutions from scratch.

68. Build an upgraded text encryption generator. Starting with the beginner project, see what you can do to make it more sophisticated. Can you generate different kinds of codes? Can you create a "decoder" app that reads encoded messages if the user inputs a secret key?
69. Make your Tic-Tac-Toe game clickable. Build a version of Tic-Tac-Toe with an actual UI you'll use by clicking on open squares. Challenge: can you write a simple "AI" opponent for a human player to play against?
70. Scrape some data to analyze. Scrape public data from a site that allows it, or use an official API when one is available. If you learn about web scraping, you can collect some really unique datasets.
71. Build a clock website. How close can you get it to real-time? Can you implement different time zone selectors and add a "countdown calculator" to measure lengths of time?
72. Automate some of your job. Many jobs have some kind of repetitive process you can automate. This intermediate project could even lead to a promotion.
73. Automate your personal habits. Want to remember to stand up once every hour? How about generating unique workout plans based on your goals and preferences? There are plenty of simple apps you can build to automate or enhance different aspects of your life.
74. Create a simple web browser. Build a simple UI that accepts URLs and loads webpages. PyQt will be helpful here. Can you add a "back" button, bookmarks, and other features?
75. Build a typing tester. Show the user some text, then challenge them to type it quickly and accurately. Time them and score them on accuracy.
76. Create a "site updated" notification system. Write a Python script that automatically checks a given URL for updates and notifies you when it identifies one. Keep the time interval between checks reasonable.
77. Build a Wikipedia explorer. Build an app that displays a random Wikipedia page. Can you add user-selected categories? Or a "rabbit hole" version where each article is randomly selected from the links in the previous one?

Advanced Python Projects

Advanced Python projects push you beyond the basics into areas like machine learning, large-scale data processing, automation, and system design.

Assumes solid Python experience and familiarity with concepts like OOP, APIs, and data structures.

Guided Advanced Projects

These guided projects tackle challenging topics while still providing structure and support. You'll work through real-world problems that require critical thinking, experimentation, and advanced Python techniques.

78. Analyzing Wikipedia Pages — Build a simplified grep utility that searches over 54 MB of Wikipedia articles using Python's multiprocessing library and the MapReduce framework. Hands-on experience with parallel computing and big data processing.
79. Implementing a Key-Value Database — Extend a B-tree implementation into a fully functional key-value database that supports range queries and dictionary-like syntax.
80. Building a Handwritten Digits Classifier — Build an image classifier that recognizes handwritten digits, comparing k-nearest neighbors to neural networks with one, two, and three hidden layers.
81. Detect Pneumonia Using X-Ray Images with CNNs and Transfer Learning — Build convolutional neural networks from scratch with Keras, then apply transfer learning with pre-trained models to diagnose pneumonia from chest X-rays.
82. Build a Speech Recognition and Summarization System — Combine the Vosk speech-to-text library with Hugging Face summarization models to build a system that automatically transcribes and summarizes audio files.

Challenging Python Projects for Advanced Learners

These projects challenge you to apply advanced Python concepts to build complex applications that reflect real-world development scenarios.

83. Building a User Authentication System — Build a learning version of a full-stack authentication system with a Python backend and a Next.js frontend. This introduces login flows, password handling, tokens, and user management.
84. Building a Log Analyzer — Build an AI-assisted log analyzer that reads log files and sends them to a local Ollama model for analysis.
85. Automating Screenshot Capture — Create a script that takes screenshots automatically at intervals. Introduces OS-level automation and multithreading.
86. RAG Chatbot — Build a chatbot that retrieves facts from a knowledge base before generating a response. You'll work with vector stores, semantic search, and LlamaIndex.
87. AI Document Summarizer CLI — Build a command-line tool that takes any text file as input and returns a clean summary using Langchain + Ollama.
88. Customer Review Sentiment Classifier — Feed a CSV of customer reviews into the Hugging Face Inference API and automatically classify each one as positive, neutral, or negative.
89. Local LLM API with Ollama — Run an open-source LLM entirely on your own machine and interact with it through Ollama's built-in API endpoint. No cloud costs, no data leaving your device.
90. Multi-Agent AI App — Build a Streamlit workout app that uses AI workflow orchestration to generate nutrition targets and answer questions based on a user profile. This project introduces Streamlit forms, persistent user data, prompt flows, and connecting a Python app to an AI backend.
91. MCP Server — Build a Python MCP client that connects an AI application to external tools through the Model Context Protocol. This project introduces MCP basics, FastAPI, client-server communication, and how AI apps can call structured tools.
92. American Sign Language (ASL) Recognizer — Train a deep learning model to classify ASL hand signs from images. A meaningful computer vision project that doubles as an accessibility tool.
93. Lecture and Meeting Transcriber — Send an audio file to a speech-to-text API and get back a clean, searchable transcript.
94. Barcode Nutrition Tracker — Scan a product barcode with a webcam, look up nutrition information from external food sites, and store results in a local database.
95. Movie Recommendation Engine — Build a movie recommendation engine from ratings data using pandas and correlation, then return movies similar to a selected title.
96. Job Application Tracker — Build a browser automation script with Playwright that helps fill out job application forms using your resume data. This project introduces browser automation, form handling, file uploads, and working with structured personal data.

Advanced Python Project Ideas

Need a difficult project to stretch your skills? These ideas encourage you to combine multiple areas of expertise and create ambitious applications.

97. Build a stock market prediction app. You'll need a source of stock market data and some machine learning and data analytics skills. Many people have tried this, so there's plenty of source code out there to learn from.
98. Program a robot. This requires some hardware, but affordable options abound. Definitely look into Raspberry Pi if you're not already thinking along those lines.
99. Build an image recognition app. Once you've got handwriting recognition down, try extending to multi-class object recognition, facial detection, or real-time classification from a webcam feed.
100. Make a price prediction model. Select an industry or product that interests you and build a machine learning model that predicts price changes.
101. Create an interactive map. Your map can display whatever you'd like — bird migrations, traffic data, crime reports — but make it interactive. How far can you take it?
102. Create a real-time chat application. Build a chat app using Python that supports multiple users communicating in real time. Helps you work with sockets, concurrency, and message handling.
103. Build a distributed web crawler. Create a system that crawls multiple websites and collects data efficiently. Introduces concurrency, task scheduling, and handling large-scale data collection. Make sure to respect each site's robots.txt and keep request rates reasonable to avoid overloading servers.
104. Develop a reinforcement learning agent. Train an agent to solve a problem (like playing a game) using reinforcement learning techniques.
105. Build a full-stack web app with authentication and APIs. Create a complete application with a backend, database, authentication system, and API endpoints. Combines multiple advanced concepts into one real-world system.

Next Steps

The best Python project is the one you finish. Here's how to pick one without overthinking it.

If you want a data or analytics job: Start with Exploring eBay Car Sales Data or Finding Heavy Traffic Indicators on I-94. Both are pandas-first, involve real messy data, and produce the kind of portfolio piece a hiring manager recognizes. After one of those, add SQL and build a second project that combines the two.

If you want to automate things at work: Start with Automating File Organization or Sending Automated Emails. Both are completable in an afternoon and immediately useful, which means you'll actually finish them. Once you've shipped one automation, the jump to scraping or scheduling tasks feels small.

If you want to break into machine learning: Don't start with a neural network. Start with Predicting Heart Disease. It's a clean dataset, a clear problem, and it teaches the scikit-learn workflow you'll use for every model you build after. Add PyTorch once scikit-learn feels comfortable.

If you want to build something people can use: Start with Building a Weather App with an API or Streamlit ML Web App. Both produce something you can show someone who isn't a developer, which matters more than it sounds when you're trying to stay motivated.

If you're not sure yet: Build the Interactive Word Game. It covers loops, functions, conditionals, and user input — the four things that show up in every other project on this list. Finish it, put it on GitHub, and you'll know what you want to build next.