Python 2 Cheat Sheet



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Python 2 Cheat Sheet

But coding should be less about rote memorization and more about understanding the principles at work. So to help you focus more on deeper understanding, we created Codecademy Cheat Sheets.

You can refer to a Cheat Sheet when you’re building your next project or querying a new data set. We also made them downloadable as PDFs, so you can take them with you anywhere.

We currently have cheat sheets for the following courses:

More to come in the future. You’ll find them at the end of each relevant lesson.

This document is a quick cheat sheet showing how the PEP 484 typelanguage represents various common types in Python 2.

Note

Technically many of the type annotations shown below are redundant,because mypy can derive them from the type of the expression. Somany of the examples have a dual purpose: show how to write theannotation, and show the inferred types.

Built-in types¶

Functions¶

When you’re puzzled or when things are complicated¶

Sheet

Standard “duck types”¶

Basic Python Cheat Sheet

In typical Python code, many functions that can take a list or a dictas an argument only need their argument to be somehow “list-like” or“dict-like”. A specific meaning of “list-like” or “dict-like” (orsomething-else-like) is called a “duck type”, and several duck typesthat are common in idiomatic Python are standardized.

Classes¶

Miscellaneous¶

Decorators¶

Python 2.7 Cheat Sheet

Decorator functions can be expressed via generics. SeeDeclaring decorators for the more details.