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Python

Python

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.

Master Python with
Interactive Learning

Elevate your Python skills through 161 curated exercises across 21 core concepts. Master problem-solving with a structured learning path designed for modern developers.

Python

About Python

Python is a dynamic and strongly typed object-oriented programming language. It employs both duck typing and gradual typing (via type hints). It supports multiple programming paradigms including imperative (object-oriented, procedural) and declarative (functional, concurrent) flavors. But do not be fooled: while programming across paradigms is fully supported, everything in Python is an object.

Python was created by Guido van Rossum and first released in 1991. The Python Software Foundation manages and directs resources for Python and CPython development and receives proposals for changes to the language from members of the community via Python Enhancement Proposals or PEPs. It is considered a strong language for programmers starting their journey, with a welcoming community and many resources available to learners of all levels and persuasions.

Python puts a strong emphasis on code readability and (similar to Haskell) uses significant indentation to denote function, method, and class definitions. Code can be written and executed from the command line, in an interactive interpreter session, in JupyterLab (Jupyter notebook), or a wide variety of code editors and IDEs.

Python is used extensively in scientific computing, finance, games, networking, internet development, and in assembling pipelines of other programs.

The zen of Python (PEP 20) and What is Pythonic? lay out additional philosophies and perspectives on the language.

Tests and tooling for this track currently support 3.10 - 3.13.5 (tests) and Python 3.13.5 (tooling). It is highly recommended that students upgrade to at least Python 3.10, as some features used by this track may not be supported in earlier versions. That being said, most of the exercises will work with Python 3.6+, or even earlier versions. But we don't guarantee support for versions not listed under Active Python Releases. We will try to note when a feature is only available in a certain version.

Complete documentation for the current release of Python (3.13.x) can be found at docs.python.org.

  • Python Tutorial
  • Python Library Reference
  • Python Language Reference
  • Python HOW TOs
  • Python FAQs
  • Python Glossary of Terms

Key Features of Python

Batteries Included

Epic & well-documented standard library. Need more? Use a PyPi package - there's one for everything.

Easy

Human-friendly Syntax and a vibrant, supportive community. Quick to learn & intuitive to use.

Extensible

Need to call Fortran from a web API? Done. Need to process images using C? Python can do that.

Flexible

Duck, dynamic, & strong typing. Easy to debug. Fun for experiments, robust for large applications.

Multi-paradigm

OOP, structured, functional, & aspect-oriented. Adaptable to how you structure your programs.

Ubiquitous

Accepted for almost any use. Easily interface with other languages & execute almost everywhere.

Track icon

Batteries Included

Epic & well-documented standard library. Need more? Use a PyPi package - there's one for everything.

Easy

Human-friendly Syntax and a vibrant, supportive community. Quick to learn & intuitive to use.

Extensible

Need to call Fortran from a web API? Done. Need to process images using C? Python can do that.

Flexible

Duck, dynamic, & strong typing. Easy to debug. Fun for experiments, robust for large applications.

Multi-paradigm

OOP, structured, functional, & aspect-oriented. Adaptable to how you structure your programs.

Ubiquitous

Accepted for almost any use. Easily interface with other languages & execute almost everywhere.

A taste of Python concepts you'll cover

Ba

Basics

Fu

Functions

Se

Sequences

Bo

Bools

Nu

Numbers

Co

Conditionals

Co

Comparisons

St

Strings

St

String Methods

Li

Lists

Li

List Methods

Lo

Loops

Tu

Tuples

St

String Formatting

Di

Dicts

Se

Sets

Un

Unpacking And Multiple Assignment

Di

Dict Methods

Cl

Classes

No

None

En

Enums

Ge

Generators

Al

Aliasing

An

Anonymous Functions

Bi

Binary Data

Bi

Binary, Octal, and Hexadecimal

Bi

Bitflags

Bi

Bitwise Operators

By

Bytes

Cl

Class Composition

Cl

Class Customization

Cl

Class Inheritance

Cl

Class Interfaces

Co

Collections

Co

Complex Numbers

Co

Context Manager Customization

Da

Dataclasses

De

Decorators

De

Descriptors

Fr

Fractions

Fu

Function Arguments

Fu

Functional Tools

Fu

Functools

Ge

Generator Expressions

Hi

Higher Order Functions

It

Iteration

It

Iterators

It

Itertools

Li

List Comprehensions

Me

Memoryview

Nu

Number Variations

Op

Operator Overloading

Ot

Other Comprehensions

Ra

Raising And Handling Errors

Re

Recursion

Re

Regular Expressions

Ri

Rich Comparisons

St

String Methods Splitting

Te

Testing

Te

Text Processing

Ty

Type Hinting

Un

Unicode Regular Expressions

Us

User Defined Errors

Wa

Walrus Operator

Wi

With Statement

Ra

Random

Se

Secrets

Dive into Python practice challenges

Hello World
Hello World
Level 1

SlaveCode's classic introductory exercise. Just say "Hello, World!".

Leap
Leap
Level 1

Determine whether a given year is a leap year.

Triangle
Triangle
Level 1

Determine if a triangle is equilateral, isosceles, or scalene.

Grains
Grains
Level 1

Calculate the number of grains of wheat on a chessboard given that the number on each square doubles.

Armstrong Numbers
Armstrong Numbers
Level 1

Determine if a number is an Armstrong number.

Collatz Conjecture
Collatz Conjecture
Level 1

Calculate the number of steps to reach 1 using the Collatz conjecture.