Python

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Python is a clear and powerful object-oriented programming language with an elegant and easy-to-read syntax. It is ideal for prototyping and ad-hoc tasks, but also sees wide use in scientific computing, web development, and automation.
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Track mentors

130 Mentors

Our mentors are friendly, experienced Python developers who will help teach you new techniques and tricks.
Track students

79,176 Students

Join thousands of students who have enjoyed learning and improving their skills by taking this track.
Track exercises

117 Exercises

Hundreds of hours have gone into making these exercises fun, useful, and challenging to help you enjoy learning.

About Python

prices = {'apple': 0.75, 'egg': 0.50}
cart = {
  'apple': 1,
  'egg': 6
}

bill = sum(prices[item] * cart[item]
           for item in cart)

print(f'I have to pay {bill:.2f}')

Python is a strong language for beginners.

There are many resources available for programmers of all levels, the code is highly readable, and in many cases phrases are comparable to those in the English language.

Code can be written and executed from the command line, in an interactive IPython session, or in a Jupyter (IPython) notebook.

The most common form of Python is compiled in C; this is often invisible to the beginning programmer, but if there are uses for which exceptionally fast implementation is needed then C extensions can be written to optimize Python execution.

Python is used extensively in scientific computing, finance, games, networking, internet development, and in assembling pipelines of other programs.

Python was started by Guido van Rossum in 1989; its name is an homage to the comedy troupe Monty Python.

This track uses Python 3. It is highly recommended that students upgrade to at least Python 3.6 as some features used by this track may not be supported in earlier version of Python.

Python development is shepherded by The Python Software Foundation and there are active community-based user groups worldwide.

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The track also improved my ability to understand a problem and form questions around it

I started with the Python track which helped me to better understand the language's syntax and data structures. The track also improved my ability to understand a problem and form questions around it so that I was able to find or learn what I needed to in order to find a solution.

Relaxed. Encouraging. Supportive.

Meet the Python Track mentors

Once you join the Python language track, you will receive support and feedback from our team of mentors. Here are the bios of a few of the mentors of this track.

Avatar of Simon Bukin

Simon Bukin https://github.com/simonbcodes

I'm a software developer most interested in backend web technologies and data. I've been a tutor for Python at my university and am happy to be a mentor here at Exercism.
Avatar of Ray Belshaw

Ray Belshaw GitHub Profile

I've had the pleasure of working in the infrastructure world for many years and decided to pivot to the software world a few years ago, picked up Python and haven't looked back. I love that every day is a school day in the land of Python.
Avatar of Jan Groth

Jan Groth https://github.com/jangroth

Coming from a Java background, I gave up not loving Python about 3 years ago. Today, it's by far my favorite language.
Avatar of Cameron Wood

Cameron Wood Landing Page

Python was my first programming language; I started learning it in school and discovered a passion for the power of programming. I strongly believe that Python is one of the best languages, especially for beginners! I currently specialize in using Python for mathematics, namely numerical analysis.
Avatar of David Jones

David Jones Website

Love python, easy to read and fun to write
Avatar of Xuecong Liao

Xuecong Liao https://github.com/suzaku

I am a system programmer in JuiceFS. Python is my favorite programming language and I have been using it for >9 years. I hope I can help you pick up Python faster.
Fun. Challenging. Interesting

Community-sourced Python exercises

These are a few of the 117 exercises on the Python track. You can see all the exercises here.

Sieve
easy
algorithms
conditionals
lists
loops
math
Gigasecond
easy
dates
time
Book Store
medium
lists
loops
recursion
POV
hard
graphs
recursion
searching
trees
Perfect Numbers
easy
algorithms
logic
loops
math
SGF Parsing
medium
parsing
trees
Passionate. Knowledgeable. Creative.

Meet the Python Track maintainers

The Python Maintainers are the brains behind the Python Track. They spend their spare time creating interesting and challenging exercises that we can all learn from. We are incredibly grateful for their hard work. Here are the bios of a few of the maintainers of this track.

Avatar of Dog

Dog

I can not only fetch JSON, but parse it too.
Avatar of Michael Morehouse

Michael Morehouse My Techie Blog

Although Python wasn't my first -- and won't be my last -- programming language, it remains my favorite for introducing others to the joys, the pains, the infrequent ecstacies, and the occasional terrors of life before the REPL.
Avatar of Corey McCandless

Corey McCandless

Big fan of homemade bread and reusable code.

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