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9 Best Sites to Practice Python Online in 2026

Maya Chen
Maya ChenComputer science and programming educator at Boot.dev

Last published

Table of Contents

You don't get good at Python by watching someone else write the code. At some point the tutorial has to fade into the aether, the editor has to be blank, and you have to know how to start that next project. And to get to that point, you need a lot of practice.

I ranked these Python practice sites by the quality of their feedback, how quickly you can start writing code, and who they're actually good for. A beginner trying to drill dictionary challenges needs a different site than someone specifically trying to memorize algorithm solutions for a technical interview.

If you want learning instead of practice, Boot.dev's beginner Python course starts from zero and lets you write code in your browser. But if you want practice and review, read on.

Prices and problem counts were checked in September 2026.

Site Price Account needed What you get Best for
Boot.dev Free to start, then $59/mo or $399/yr Yes for graded work 40,000+ rated challenges, generated practice, courses Practice tied to a full curriculum
Exercism Free Yes 146 Python exercises, tests, mentoring The best free all-around option
PYnative Free No 800+ questions in 29 topic sets Drilling one Python topic
Codewars Free, Red is $5/mo or $40/yr Yes About 6,000 Python kata Comparing many solutions
Pybites 40 free, paid full library Yes 435+ tested Python exercises More Pythonic practice
HackerRank Free Yes Python topic tracks and skill tests Language features and certs
Practice Python Free No 40 beginner prompts and solutions Low-friction beginner practice
CheckiO Free tier, paid unlocks No to start Python missions on a game map Puzzle fans
LeetCode Free tier, Premium extra Yes to submit Interview algorithm problems Technical interview prep

How I ranked these

I used four criteria:

  1. Do you write real Python code?
  2. Does the site run tests and explain failures?
  3. Can you find the right difficulty and topic?
  4. Are the challenges high quality, like do they have good instructions, good test cases, etc?

Boot.dev: Python practice with a curriculum

Boot.dev's Training Grounds has more than 40,000 student-rated coding challenges. You can filter the existing bank or generate one for the topic and difficulty you want. Its three challenge types cover writing code, fixing bugs, and answering interview questions. If you're taking a Boot.dev course, its built-in spaced repetition system also pulls practice from topics you've already studied and might be forgetting.

Their practice system makes the most sense when paired with Learn Python for Beginners. That course has about 30 hours of material across 168 lessons, covers the language from functions through testing and error handling, and ends with a dedicated practice chapter. More than 844,000 students have joined it, and its average rating is 4.8 across more than 11,800 ratings.

The cons:

  • Most graded work is paid. The first course chapters and some Training Grounds practice are free. Full interactivity costs $59 per month or $399 per year.
  • It's built around career paths. Which is fantastic if you want to become a backend or data developer, but might be overkill if you only need a handful of practice problems for tomorrow's interview.
  • Newly generated challenges vary in quality. Ratings help you choose from challenges other students have already completed, but a brand-new generated challenge hasn't had that community feedback yet.

Exercism: the best completely free option

Exercism's Python track has 146 exercises covering 17 concepts, all free. Each exercise comes with tests, and you can work in its online editor or download the files and run them locally. The local route is especially nice because you can use all your normal local tooling (be sure to disable any AI-autocomplete though)!

The unique bit from them is their mentoring. You can request feedback from a real volunteer after submitting an eligible solution. You can also browse other people's approaches once you've solved an exercise.

The cons:

  • You need an account. Fair enough for progress tracking and mentoring, but it isn't a click-and-type sandbox.
  • It isn't a complete from-zero course. Exercism has an ordered concept syllabus, but its own guide sends absolute beginners to outside tutorials and courses for fuller instruction. It's best when you mainly want to practice by solving exercises.

PYnative: 800 free questions organized by topic

PYnative has more than 800 free coding questions split across 29 topic-based exercise sets. There are 40 beginner questions, 40 loop questions, 45 list questions, 31 OOP questions, and advanced sets for generators, regex, files, NumPy, Pandas, databases, etc.

Every question has a hint and solution, and the site links to a browser editor. This one works well if you have a very specific weak spot you want to practice. If dictionaries feel fuzzy and you don't need a full learning path, you can grind it out here until you feel confident.

The cons:

  • It trusts you not to peek. The solution is literally right below the prompts.
  • The editor doesn't grade each answer against hidden tests. You run the code and compare the results yourself, so it just takes a bit more cognitive burden after running the code.
  • The site feels... busy. Tutorials, quizzes, compilers, ads, and exercise links are kinda just jammed in your face at all times.

Codewars: the best place to compare solutions

Codewars calls its challenges "kata" and ranks them from 8 "kyu" (the easiest) to 1 "kyu" (the hardest). Its Python search returned about 6,000 kata when I checked, including beta problems. After you complete one, you get access to community solutions and can sort them with the site's "Best Practices" and "Clever" votes.

The community solutions are the useful bit. Your twelve-line solution passes, then you see that someone did it in four readable lines with a standard-library function you didn't know existed... or sometimes someone did it in one unreadable line. Both are fun to see.

The cons:

  • Community quality varies. Beta kata are still being evaluated by users and may change before they're approved.
  • The ranking system is not a curriculum. An 8 kyu problem can be called "easy" but still require knowledge you've never heard of.
  • Clever code gets its own voting category. A clever solution can be fun to study without necessarily being the code you'd want to ship in production.

Pybites: Pythonic Python

Pybites has more than 435 exercises built specifically for Python. Each one gives you starter code and tests, then lets you compare approaches in a community forum. The library has beginner exercises all the way up into decorators, standard-library modules, testing, and more.

The free tier includes 40 exercises. Full access is paid, and a lifetime plan was $300 when I checked. This isn't the cheapest bank of problems, but it's much more focused on Python than some of the language-agnostic algorithm sites.

The cons:

  • Most of the library is paid. Forty free exercises is enough to judge its quality, but not enough to realistically use free-tier-only.
  • It isn't a from-zero course.

HackerRank: a tour of Python's features

HackerRank's Python domain is organized by Python topic: basic data types, strings, sets, itertools, collections, exceptions, classes, decorators, regex, XML, and NumPy.

The practice is free, and HackerRank also offers a Python Basic skill test with two questions and a 90-minute limit. I wouldn't put much weight on a certificate based on two questions, but a deadline can be quite useful psychologically if you need a reason to practice.

The cons:

  • An account is required to run submissions.
  • Topic drills aren't real project work. They're great for syntax memorization, but not for practice in big codebases.

Practice Python: 40 beginner exercises, no account

Practice Python is delightfully small. It has 40 beginner exercises covering numbers, strings, lists, files, JSON, functions, error handling, and tiny games. Each prompt links to a separate solution post with an explanation.

There's no account and no progress system. Open a prompt, write the solution locally or in a free Python playground, then check the answer. If every modern learning site feels overwhelmingly "platformy", this plain old blog format is a nice respite.

The cons:

  • There's no built-in editor or test runner.
  • It stops at 40 exercises.
  • The last exercise was published in July 2022.

CheckiO: Python puzzles on a game map

CheckiO has Python missions organized into "islands" that unlock as you solve. You can choose easy, normal, or advanced when you start, and you can begin without registering an email. After your solution passes, you can see how other players solved the same problem, although free users get that access after a delay.

The free account lets you solve missions, but some are locked. Its "Awesome" plan removes those free-user mission locks and gives you immediate access to other users' solutions. It costs $4.99 per month, $24.99 for six months, or $49.99 per year as of September 2026.

The cons:

  • Some missions are locked on the free plan. You can earn paid access through its quest-point system, which is kinda neat though.
  • Puzzle progression can hide the topic you need.
  • It won't teach complete beginners much syntax.

LeetCode: use Python to practice interviews

LeetCode is an interview-prep platform, not a Python-learning platform, which is also not quite the same as a strict Python-practice platform. Python is a great language for solving its array, tree, graph, and dynamic-programming problems, but the site is really about algorithms practice while assuming you can already program in Python (or another language).

The free library is plenty for most learners. Premium adds company-specific problem lists, premium questions and articles, and other interview tools. Look into it when the job you want for sure includes LeetCode-style interviews.

The cons:

  • It's rough for Python beginners. A problem marked "Easy" can still require a pattern you've never seen before in Python.
  • The problems are optimized for interviews. Reversing a linked list in a browser is not representative of most Python jobs.
  • Premium is expensive for general practice. You're paying for interview data and company filters.

Which Python practice site should you pick?

Pick based on the next skill you need:

  • You're starting from zero: Boot.dev, then its Training Grounds as you need more and more practice.
  • You want the best free practice bank: Exercism.
  • You learn by reading other people's code: Codewars or Exercism.
  • You have a technical interview coming: HackerRank for Python features, then LeetCode for algorithms.

glhf out there.

Frequently Asked Questions

Where can I practice Python for free?

Exercism is the strongest completely free Python practice site, with 146 exercises, automated tests, and volunteer mentoring. PYnative has more than 800 free topic-based questions, while Practice Python has 40 beginner exercises with solutions. Boot.dev also has 12 free practice problems, a no-login Python playground, and free starter lessons in its beginner course.

What is the best Python practice website for beginners?

Boot.dev is the best fit if you still need lessons attached to your practice. Exercism is the best free choice once you know the basic syntax. PYnative and Practice Python work well when you want a prompt and a solution without committing to another full course.

Is LeetCode good for learning Python?

LeetCode is good for practicing data structures and algorithms in Python, but it is a rough place to learn the language itself. Its problems assume you already understand functions, loops, collections, and basic complexity. Learn Python first, then use LeetCode when interview preparation becomes the goal.

How many Python problems should I solve?

There is no universal number. Keep solving varied problems until basic syntax stops slowing you down, then build a project. More isolated list and string puzzles will not teach you how to organize files, use packages, read documentation, or debug a program with several moving parts.

Should I practice Python in a browser or locally?

A browser is faster when you are learning syntax or solving short exercises. Move to a local editor once your program needs several files, third-party packages, a database, or version control. Good practice sites help you start writing quickly, but local projects teach the workflow you will use as a developer.