This document is a quick cheat sheet showing how the PEP 484 typelanguage represents various common types in Python 2.
Python Cheat Sheet by DaveChild - Cheatography.com Created Date: 5227Z. ^Python $ (2,4,7) $ 2,x,3.1 $. 34$ ^$ 50$ 2$ 66$ B$ 82$ R$ 98$ b$ 114$ r$ 35$ #$ 51$ 3$ 67$ C$ 83$ S$ 99$ c$ 115$ s$ 36$ $$ 52$ 4$ 68$ D$ 84$ T$ 100$ d$ 116$ t$.
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¶
Standard “duck types”¶
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.
Python 2 3 Cheat Sheet
Classes¶
Miscellaneous¶
Decorators¶
Decorator functions can be expressed via generics. SeeDeclaring decorators for the more details.
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