Take your coding skills to the next level with Real Python’s accelerated study plans for beginner, intermediate, and advanced Python developers. At Real Python , you can learn all things Python from the ground up. Everything from the absolute basics of Python, to web development and web scraping, to data visualization, and beyond. Whether you’re a beginner, intermediate, or advanced Pythonista, our custom-made learning paths will take your skills to the next level with accelerated, hands-on study plans. Take the Quiz: Test your knowledge with our interactive “Python Skill Test” quiz. You’ll receive a score upon completion to help you track your learning progress: Interactive Quiz Test your Python knowledge in a skills quiz with basic to advanced questions. Are you a Novice, Intermediate, Proficient, or Expert? All of the resources in our learning paths were created by professional Python developers with years of experience to ensure that you’re learning the skills and techniques that really matter. You’ll find your way through an entire Python curriculum, so you’ll always know what to focus on next. Not sure where to start? Take our short Learning Plan survey to get a personalized study plan based on your goals and experience level. Or pick a learning path below and jump right in, or search and filter learning paths by topic and skill level . Absolute Basics If you’re completely new to programming and Python, then start your learning journey with the Python Basics learning path, which is designed to pick you up at the ground floor and carry you to basic proficiency with Python. After finishing this learning path, you’ll be well equipped to tackle any of our beginner learning paths. Python Basics: Introduction to Python 18 Resources ⋅ Skills: Python 3 Fundamentals, Real-World Projects Python Core Language: Basics Get a jump start on your Python career with our learning resources designed for beginners . Here you’ll find fundamental concepts for Python beginners, which will help you get started on your journey to learn Python. These tutorials focus on the absolute essentials that you need to know about Python. Revisit Python Fundamentals 13 Resources ⋅ Skills: Python, Variables, Data Types, REPL, Operators, Expressions, Exceptions, Comments, Keywords, IDLE, String Conversion I/O Operations and String Formatting 10 Resources ⋅ Skills: Python, I/O, String Formatting, f-strings, print(), input(), Format Mini-Language Python Control Flow and Loops 15 Resources ⋅ Skills: Python, Control Flow, Conditional Statements, Booleans, for Loops, while Loops, enumerate, Nested Loops, break, continue, pass, Membership Testing Python Data Structures 24 Resources ⋅ Skills: Python, Strings, Lists, Tuples, Dictionaries, Sets, List Comprehensions, range(), Bytes, Sorting, Copying Functions and Scopes 12 Resources ⋅ Skills: Python, Functions, Scope, Arguments, Parameters, Return, Globals, Inner Functions, Closures, Namespaces Python Core Language: Intermediate Once you’re past the basics, you can start digging into our intermediate-level tutorials , which will teach you new Python concepts. This category is for intermediate Python developers who already know the basics of Python development and want to expand their knowledge. Perfect Your Python Development Setup 17 Resources ⋅ Skills: VS Code, PyCharm, Virtual Environments, pyenv, Docker, Git, GitHub, IDEs, Code Editors, Claude Code, Cursor, Gemini CLI, GitHub Copilot, Coding Fonts Modules and Packages 16 Resources ⋅ Skills: Packages, Modules, Import System, pip, PyPI, uv, __init__.py, Namespace Packages, __all__, PyInstaller Object-Oriented Programming (OOP) 18 Resources ⋅ Skills: Python, OOP, Classes, Data Classes, Getters, Setters, Property, super(), Magic Methods, Operator Overloading, SOLID, Inheritance, Composition, Mixin Classes, Factory Pattern Files and File Streams 13 Resources ⋅ Skills: Python, Pathlib, File I/O, Serialization, Encoding, Unicode, PDF, WAV, Context Managers, ZIP Files Exceptions, Logging, and Debugging 8 Resources ⋅ Skills: Python, Exceptions, Logging, Debugging, pdb, raise, Built-in Exceptions, Error Handling Classic Data Structures and Algorithms 19 Resources ⋅ Skills: Python, Data Structures, Stacks, Queues, Linked Lists, Hash Tables, Enums, Search Algorithms, Sorting Algorithms, Collections Important Standard Library Modules 16 Resources ⋅ Skills: Python, math, time, calendar, datetime, JSON, CSV, Regex, random, subprocess, argparse, pickle, XML, zipfile, HTTP server Functional Programming With Python 14 Resources ⋅ Skills: Python, Functional Programming, Lambda Functions, Built-in Functions, Map, Filter, Reduce, Scope, Closures, Inner Functions, Decorators, Recursion Generators and Generator Expressions 6 Resources ⋅ Skills: Python, Iterators, Iterables, Itertools, Asynchronous Iterations, Generators, Yield, Generator Expressions Write More Pythonic Code 16 Resources ⋅ Skills: Zen of Python, PEP 8, List Comprehensions, Application Layouts, Refactoring, Duck Typing, Type Checking, Type Hints, Protocols, Code Documentation, MkDocs, Code Quality, Pylint Testing and Continuous Integration 10 Resources ⋅ Skills: Unit Testing, Test-Driven Development, Doctest, Mock Object Library, Pytest, Continuous Integration, Docker, Code Quality, GitHub Actions, Software Testing, CI/CD Python Core Language: Advanced In this section, you’ll find Python learning resources that teach you advanced concepts so you can be on your way to becoming a master of the Python programming language. Once you’re past the intermediate level, you can start digging into these tutorials and courses, which will teach you advanced Python concepts and patterns. Concurrency and Async Programming 10 Resources ⋅ Skills: Python, Concurrency, Async IO, Global Interpreter Lock, Thread Safety, Parallel Processing, Performance Optimization, Multithreading, Async Iterators, Free Threading Database Access With Python 9 Resources ⋅ Skills: SQL Libraries, SQLite, SQLAlchemy, Redis, MySQL, MongoDB, ChromaDB, Data Management, NoSQL Databases, Vector Databases, DuckDB, TinyDB, SQL Security Python Metaprogramming

8 Resources ⋅ Skills: Python, Descriptors, Metaclasses, Abstract Base Classes, Protocols, Duck Typing, Introspection, Dynamic Code Execution, exec(), eval() Network Programming and Security 5 Resources ⋅ Skills: CRUD Operations, REST APIs, HTTPS, Socket Programming, Cryptography, Network Security, Web Services Create Graphical User Interfaces (GUI) 12 Resources ⋅ Skills: Tkinter, PyQt, wxPython, Kivy, GUI Layouts, Event Handling, Database Integration, Thread Management, Mobile App Development, GUI Design Understand CPython 8 Resources ⋅ Skills: Python, Pointers, Memory Management, Profiling, CPython Source Code, C Extensions, Python Bindings, Memory Mapping Ace Your Python Coding Interview 8 Resources ⋅ Skills: Coding Interviews, Practice Problems, CSV Parsing, Data Engineering, Python Books, PyCon Talks, Interview Preparation, Coding Challenges, Learning Roadmaps Ready to explore what Python can do outside of its core functionality ? The learning paths below cover real-world applications like web development, data science, machine learning, and more. Work through any of these paths side-by-side, or skip those that you’re not interested in. Web Development Build web applications with Python’s most popular frameworks. Start with the fundamentals of web development in Python, then dive deeper with FastAPI, Flask, or Django. You’ll also learn how to collect data from the web using scraping techniques. Become a Python Web Developer 22 Resources ⋅ Skills: Web Development, Django, Flask, FastAPI, REST APIs FastAPI: Python API Development With Light Speed 7 Resources ⋅ Skills: FastAPI, REST APIs, Web Development, Jinja2, Pydantic Flask by Example 12 Resources ⋅ Skills: Web Development, Flask Framework, Jinja, REST APIs, Databases, JavaScript Front Ends, Deployment Django for Web Development 17 Resources ⋅ Skills: Django, Web Development, REST APIs, Migrations, User Management, Admin Python Web Scraping 11 Resources ⋅ Skills: Web Scraping, HTTP Requests, Data Parsing, Browser Automation Data Science & Visualization Work with data using Python’s powerful data science ecosystem . These paths take you from core skills with NumPy and pandas through math foundations, data collection and storage, all the way to creating compelling visualizations. Data Science With Python Core Skills 22 Resources ⋅ Skills: Pandas, NumPy, Data Cleaning, Data Visualization, Statistics, CSV, JSON, Jupyter Notebooks Math for Data Science 5 Resources ⋅ Skills: Statistics, Correlation, Linear Regression, Logistic Regression, NumPy, SciPy, pandas, Gradient Descent Data Collection & Storage 9 Resources ⋅ Skills: CSV, JSON, pandas, Excel, SQL, SQLite, SQLAlchemy, AWS S3, Databases Data Visualization With Python 10 Resources ⋅ Skills: NumPy, Matplotlib, Bokeh, Seaborn, pandas, Dash, Folium, ggplot pandas for Data Science 15 Resources ⋅ Skills: pandas, Data Science, Data Visualization, DataFrame, GroupBy, Data Cleaning AI & Machine Learning Harness the power of artificial intelligence with Python. Whether you want to use AI assistants to boost your coding productivity, build applications powered by large language models, or train your own machine learning models, these paths have you covered. Python Coding With AI 12 Resources ⋅ Skills: Cursor, Claude Code, AI-Assisted Development, Context Engineering, AI Code Review LLM Application Development With Python 13 Resources ⋅ Skills: OpenAI, Ollama, OpenRouter, Prompt Engineering, LangChain, LlamaIndex, ChromaDB, MarkItDown, RAG, Embeddings, AI Agents, Pydantic AI, LangGraph, MCP Machine Learning With Python 31 Resources ⋅ Skills: Image Processing, Computer Vision, Text Classification, Speech Recognition, NLP, Deep Learning, LLMs, RAG DevOps, Desktop Apps, and Game Development Package, deploy, and ship your Python projects to the world. Containerize applications and set up CI/CD pipelines for the cloud, build professional desktop apps with graphical user interfaces, or dive into game development to bring interactive experiences to life. DevOps With Python 11 Resources ⋅ Skills: Packaging & Deployment, CI/CD, AWS, Docker, Logging GUI Programming With PyQt 8 Resources ⋅ Skills: PyQt, Qt Designer, Layouts, Menus, SQL Databases, QThread, SQLite, GUI Design Python Game Development 12 Resources ⋅ Skills: Turtle, Rich, PySimpleGUI, Tkinter, Pygame, Arcade How to Select a Path That’s Right for You? Learning Python isn’t a one-size-fits-all task, so think about why you’re here. What do you want to do with Python? Think about where you want to go, and then consider what skills you’ll need to get there. If you’d like a personalized recommendation , take our short Learning Plan survey . It asks a few questions about your experience and goals, then builds a custom study plan just for you. If you jump into a learning path and get stuck, you can always ask for help in the Real Python Community Chat or at Office Hours . Those are also great places to hear from other programmers who have been in your shoes and may have suggestions on where to start. Got feedback on our learning paths?