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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

157 Mentors

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

115,933 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 Varun Kumar N

Varun Kumar N https://github.com/AthletiCoder

Academic background in Machine learning and Data science. Python FTW! Workshop trainer for beginners in python. Professionally experienced in Golang, C++.
Avatar of Cheshirecat

Cheshirecat https://github.com/CheshireCat12

I'm a CS student in Switzerland. I use the most of the time Python in my courses. My specialization is information processing (NLP, machine learning, deep learning, ...).
Avatar of Joyce Kung

Joyce Kung LinkedIn

I started learning Python a couple years ago (on Exercism!) to get a new, simple, goto language to replace Bash/C++. Looking forward to giving back to this community and helping people learn!
Avatar of Ayodeji Adeoti

Ayodeji Adeoti GitHub

Python is my natural go-to language for a lot of things. I translate lots of its concepts into other languages. I believe everyone needs a language that can really 'clear' their head when working.
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 Jason Peacock

Jason Peacock https://github.com/jasonpeacock

A software engineer of 20yrs, I've written production code in Perl, Ruby, and Python, among other languages. Python is my favorite interpreted language.
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.

Series
easy
algorithms
arrays
conditionals
loops
Space Age
easy
conditionals
floating point numbers
integers
Custom Set
medium
sets
Tournament
medium
conditionals
loops
maps
parsing
Book Store
medium
lists
loops
recursion
Twelve Days
medium
lists
strings
text formatting
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 Corey McCandless

Corey McCandless

Big fan of homemade bread and reusable code.
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.

Get started with the Python track. As with everything on Exercism, it's 100% free!

Join the Python Track