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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

118,761 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 Ashley Drake

Ashley Drake Personal Site

I enjoy writing Python at work and for personal projects; I love it's expressiveness and adaptability.
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 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 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 Stig Johan Berggren

Stig Johan Berggren https://github.com/Stigjb

I'm using Python for data science/machine learning and personal projects. I like the language for the great package ecosystem and the expressive and readable code.
Avatar of Seeni

Seeni

I am Indian student developer working in Deep Learning with python. I work on python for almost all of my projects. Other languages i Use are javascript , c++
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.

House
easy
pattern recognition
recursion
strings
text formatting
POV
hard
graphs
recursion
searching
trees
Affine Cipher
medium
algorithms
cryptography
strings
Transpose
easy
algorithms
strings
transforming
Bowling
medium
classes
exception handling
logic
Pythagorean Triplet
easy
algorithms
conditionals
enumerations
equality
filtering
lists
logic
loops
searching
sets
tuples
variables
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 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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