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

95 Mentors

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

47,932 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 John Turner

John Turner https://github.com/johndturn

I've been working, either professionally or on side projects, with Python for about 3 years now. I love its versatility, easy syntax, and powerful capabilities. I'm excited to share what I've learned, and learn from others as well!
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 Nasy

Nasy Nasy Moe

I really like to use python to solve things in life, and I also desire to use her extraordinary features. Hope you can enjoy python, too. Besides, I come from China, so if you use Chinese, I can also understand it.
Avatar of Michael Anderson

Michael Anderson https://github.com/usufruct

I use Python at work. If Python were ordering a hot dog in Chicago it would know for certain whether ketchup is a proper condiment.
Avatar of John Crickett

John Crickett https://github.com/JohnCrickett

Software Engineer who works mostly in C++ and Python, with an interest in AI, machine learning and data science/engineering
Avatar of Nirupam Sharma

Nirupam Sharma https://github.com/nirupam1sharma

I am a prosessinal Data Scientist and for me python is like a Gennie. My mind thinks and python brings it to life.
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.

List Ops
easy
callbacks
conditionals
filtering
functional programming
lists
loops
searching
variables
Complex Numbers
medium
equality
tuples
math
Palindrome Products
easy
loops
math
Word Count
easy
algorithms
logic
pattern recognition
strings
text formatting
Phone Number
easy
conditionals
pattern matching
regular expressions
strings
Binary Search Tree
medium
classes
object oriented programming
recursion
searching
trees
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.

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