7 Best Free Python Courses for Beginners (2026, Ranked by Goal)

Quick answer

You do not need to pay anything to learn Python well. These free courses cover every style of learning:

• Best interactive start: Python Foundations here on BeginnerCoder. Short lessons with an in-browser editor, nothing to install, followed by Python Intermediate when you are ready.
• Best university-style course: Harvard's CS50's Introduction to Programming with Python (CS50P). Lecture videos, graded problem sets and a real curriculum, free to audit.
• Best for practical automation: Automate the Boring Stuff with Python by Al Sweigart. The full book is free to read online, and it teaches Python through tasks you actually want to do: renaming files, filling spreadsheets, scraping pages. Get the paperback on Amazon (paid link)
• Best long-form project course: freeCodeCamp's Python curriculum and its long YouTube tutorials. Entirely free with certificates.
• Best official reference: The Python Tutorial on python.org. Dry, but authoritative and always current.
• Best for data work: Kaggle Learn's short Python and Pandas courses, with notebooks that run in the browser.

Pick one primary course, finish it, and use the others as backups when an explanation does not click. Switching between five courses in the first week is the most common way to learn nothing.

How to choose a free Python course

Match the format to how you focus

• Interactive, in-browser courses (BeginnerCoder, Kaggle) remove setup friction and give instant feedback. Best if you have small blocks of time or lose momentum easily.
• Video lectures with problem sets (CS50P, Google's class) suit people who like a classroom rhythm and weekly deadlines.
• Books and text (Automate the Boring Stuff, the official tutorial) are fastest for people who read well and want to search back through material.
• Long single videos (freeCodeCamp on YouTube) are convenient but passive. Pause and type every example or you will retain very little.

Check that it is actually beginner-level

Many "beginner" courses assume you already know what a variable or a terminal is. Signs a course is truly for first-timers: it explains how to run code before writing it, it does not jump to classes in lesson two, and the first project appears within the first few hours.

Look for exercises with feedback

Watching is not learning. The course should make you write code and tell you whether it works. CS50P's automated checker, Kaggle's exercise notebooks and our in-browser lessons all do this; a plain video playlist does not, so pair it with practice.

Know your goal

Someone who wants to automate office tasks, someone who wants a software job and someone who wants to analyse data should start with different courses. The table in the next section maps goals to picks. If you are unsure whether Python is even the right first language, read our guide to the best programming language to learn first.

The best free Python courses, in detail

BeginnerCoder Python Foundations and Python Intermediate

Our own courses are built for people with no programming background. Python Foundations covers variables, f-strings, conditionals, loops, lists, functions, dictionaries, string methods, tuples, sets, enumerate and zip, list comprehensions, try/except error handling and recursion, ending with mini projects such as a word counter and an RPN calculator, with an editor in the page so you type code from the first lesson. Python Intermediate continues with classes and inheritance, exceptions, lambda and map, args and kwargs, sorting with key, Counter and defaultdict, itertools, generators, decorators, context managers, dataclasses and properties. Both are free, with no account required to start.

Best for: absolute beginners who want to start in the next five minutes.

CS50's Introduction to Programming with Python (CS50P)

Harvard's CS50P is a complete introductory course taught by David Malan. It has roughly ten weeks of lectures, each followed by problem sets that are checked automatically. It covers functions, conditionals, loops, exceptions, libraries, unit tests, file I/O, regular expressions and object-oriented programming. You can take it free on the CS50 site or edX; a verified certificate is optional and paid.

Best for: people who want a rigorous, well-structured course and are willing to put in several hours a week.

Automate the Boring Stuff with Python

Al Sweigart's book is a classic for a reason. Instead of abstract exercises it teaches Python by solving everyday problems: working with files, Excel spreadsheets, PDFs, web pages, email and scheduling. The complete text is free on the author's website, and there is a companion video course. If you prefer paper, the book is also sold in print. See the book on Amazon (paid link)

Best for: office workers, administrators and anyone whose motivation is "make this tedious task go away".

The Python Tutorial (python.org)

The official tutorial is written by the people who maintain Python. It is complete, precise and updated with every release. It is not gentle: it assumes you can install Python and open a terminal, and it moves quickly. Use it as a second source when another course leaves you wondering "but why does it work that way?".

Best for: readers who want an authoritative reference alongside a friendlier course.

freeCodeCamp

freeCodeCamp offers a Scientific Computing with Python certification built around projects, plus very long free video courses on YouTube that walk through Python from scratch. Everything is free and the community forum is active. The project-based certification is a good way to prove to yourself that you can build something end to end.

Best for: self-directed learners who like to earn certificates and build a project portfolio.

Google's Python Class

Google's free class is a short course with lecture videos, written material and exercises, originally created for Google employees with a little programming experience. It covers strings, lists, dictionaries, files, regular expressions and utilities. It is older and no longer actively expanded, but the fundamentals have not changed and the exercises are still good practice.

Best for: people who already know another language and want a fast, practical introduction to Python.

Kaggle Learn

Kaggle's micro-courses (Python, Pandas, Intro to Machine Learning and others) are short, run in browser notebooks and end in hands-on exercises. The Python course alone will not make you a programmer, but the series is the fastest path from zero to analysing a real dataset.

Best for: aspiring data analysts and data scientists.

Where paid courses fit

Most people never need to pay. If you want a single structured video course with lifetime access and a very large exercise bank, marketplaces such as Udemy regularly discount beginner Python courses heavily; our guide to the best online coding courses explains how to tell a good one from a bad one. Browse Python courses on Udemy (paid link)

Which free Python course to pick by goal

A simple way to structure your learning

Rather than binge-watching, give yourself a schedule. A workable pattern:

1. Weeks 1–2: one primary beginner course, 30–60 minutes a day, typing every example.
2. Weeks 3–4: finish the course and build one small project without a tutorial (a to-do list in the terminal, a file organiser, a quiz game).
3. Month 2: a second source for depth (CS50P problem sets or Automate the Boring Stuff chapters), plus one project per week.

If you want this laid out day by day, follow our 30-day Python plan. Its first two weeks link to specific Python Foundations lessons; weeks 3 and 4 add topics our courses do not cover (files, packages, testing) using free outside resources.

Common mistakes

1. Collecting courses instead of finishing one. Bookmarks are not progress.
2. Watching without typing. Retype every example, then change it and predict what happens.
3. Skipping the exercises because they feel slow. The exercises are the course; the videos are just the introduction.
4. Starting with data science or AI libraries before basic Python. Pandas is confusing if you do not yet understand lists and dictionaries.
5. Quitting at the first environment problem. If local installation fights you, use a browser course until you are confident, then set up your machine with our guide to the best Python IDE for beginners.
6. Measuring progress in hours watched. Measure it in programs you have written that work.

Next step

Start with Python Foundations right now, in your browser, no installation required. When you finish, move on to Python Intermediate and browse the Python tutorials for practical projects.