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

67 Mentors

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

24,682 Students

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

109 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 Cameron MacDonald

Cameron MacDonald GitLab

Python was my very first language and is still one of my favorites to write in. It's super simple to understand, easy to translate pseudocode to, and wonderfully verbose in its errors. Join me in the Python cult!
Avatar of Ryan Palo

Ryan Palo https://github.com/rpalo

I use Python to do data analysis, engineering, physics, and design calculations for work. I also use Python because it’s simple and clean and nice and I love it!
Avatar of Samuel Walladge

Samuel Walladge Website

Python was the first language I learnt when I started programming several years ago. Since then I have used it extensively for uni projects, web, scripting, and pretty much everything else. Excited to be able to help mentor new pythonistas!
Avatar of Sandor Dargo

Sandor Dargo Sandor Dargo's Blog

I like Python because it's so simple to understand it and it can read like well-written prose. Besides it's a real swiss army knife, you can use it for almost everything. Yet, it takes some time to learn writing pythonic code, but I'm happy to help you with that!
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 Jon Calder

Jon Calder https://github.com/jonmcalder

I've got limited experience with Python, but have found it fun and useful to learn, especially as a data scientist. I hope to continue learning from others and to be able to assist them on their journey.
Fun. Challenging. Interesting

Community-sourced Python exercises

These are a few of the 109 exercises on the Python track. You can see all the exercises here.

House
easy
pattern recognition
recursion
strings
text formatting
Largest Series Product
easy
conditionals
logic
loops
math
Bob
easy
conditionals
equality
strings
Hamming
easy
algorithms
conditionals
filtering
logic
loops
sequences
sets
strings
Alphametics
medium
conditionals
logic
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 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.
Avatar of Nathan Parsons

Nathan Parsons

Python fits with how I think and allows me to quickly write powerful, maintainable, and extensible code.

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