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

92 Mentors

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

44,605 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.

Python 2 is used widely but support may end by 2020; it is highly recommended that beginners use Python 3 (they are similar, but users will encounter some differences).

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 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.
Avatar of Nitish Chinta

Nitish Chinta https://github.com/nitishch

I use Python for my side projects - mostly on competitive programming and machine learning. I contributed to CPython project for some time.
Avatar of George-Claudiu Carcadia

George-Claudiu Carcadia https://github.com/gccarcadia

I've been using Python since two and a half years ago and I really fell in love with it. I really hope that I can share my knowledge with others and also become more knowledgeable myself along the way.
Avatar of David Carroll

David Carroll https://github.com/axesilo

My primary professional language is Python, which I like for its flexibility and expressiveness, but I also enjoy using Rust because of its power and high-quality tooling. I'm a former CS professor.
Avatar of Vince Mutolo

Vince Mutolo https://github.com/vlmutolo

I am a physics student with interest and experience in computational methods, especially using Python. I would like to help others learn to use its expressive syntax and extensive libraries to facilitate clean and speedy development.
Avatar of Batuhan Taşkaya

Batuhan Taşkaya https://github.com/BTaskaya

Over 6 years Python experience with high Object Orianted skills. Developed Compilers & Restful API's & CLI Apps & Games & Frameworks. Familiar with CPython Source Code (especially Memory Management & Garbage Collecting Techniques)
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.

Pangram
easy
algorithms
conditionals
filtering
logic
loops
strings
List Ops
easy
callbacks
conditionals
filtering
functional programming
lists
loops
searching
variables
Armstrong Numbers
easy
algorithms
loops
math
Dominoes
medium
lists
tuples
Run Length Encoding
easy
algorithms
strings
text formatting
Go Counting
medium
classes
control flow
parsing
tuples
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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