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

119 Mentors

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

71,167 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 Pavan Raga

Pavan Raga https://github.com/PavanRaga

I am a master's student, with 5+ years of past software development experience. Happy to help!
Avatar of Björn Lindström

Björn Lindström Elektrubadur

Python was among the first programming languages I started learning, and since then I've used it for fun, in an academic setting, as well as in my work life.
Avatar of Khoi Van

Khoi Van My GitHub

I am a chemist, actually, and recently got into coding and enjoy how much it can dramatically improve other fields
Avatar of Yannick Dawant

Yannick Dawant https://github.com/ydawant

I've been using Python professionally for the past 5 years. I was lucky to be surrounded by great teachers and mentors on my path to becoming a developer. Excited to pay that forward!
Avatar of Andrea Sessa

Andrea Sessa https://github.com/Sessa93

I have used Python mainly for Machine Learning/Reinforcement Learning for my Master thesis.
Avatar of Salomé Lahmar

Salomé Lahmar https://github.com/slahmar

Python is my favorite language because it's easy to learn and easy to write, and really explicit and concise. It's also great for machine learning enthusiasts!
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.

Error Handling
easy
exception handling
All Your Base
medium
integers
transforming
math
Two Bucket
medium
algorithms
conditionals
control flow
loops
List Ops
easy
callbacks
conditionals
filtering
functional programming
lists
loops
searching
variables
Poker
easy
conditionals
lists
loops
parsing
Nth Prime
easy
algorithms
lists
loops
math
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 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.
Avatar of Dog

Dog

I can not only fetch JSON, but parse it too.

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