Python List Cheat Sheet

Posted : admin On 1/29/2022

Python allows the values in a dictionary to be any type – string, integer, a list, another dictionary, boolean, etc. However, keys must always be an immutable data type, such as strings, numbers, or tuples. In the example code block, you can see that the keys are strings or numbers (int or float). The values, on the other hand, are many varied data types. This part mainly focuses on common snippets in Python code. The cheat sheet not only includes basic Python features but also data structures and algorithms. Python is a beautiful language. It's easy to learn and fun, and its syntax is simple yet elegant. Python is a popular choice for beginners, yet still powerful enough to. Python Cheat Sheet 1. Primitives Numbers. In the above example, pi is the variable name, while 3.14 is the value. “string list”. Slicing a string works in a similar fashion as you’d do for a list objects. S = 'hi there' s0:4 'hi t' f-string. You can format string in multiple ways in Python. Prior to Python 3.6 most people would use%-formatting or.format but f-strings have made it quite easier — easy to use and easy to read. Here’s one example.

  1. Python Methods Cheat Sheet
  2. Python List Cheat Sheet Examples
  3. Python List Cheat Sheet

This document is a quick cheat sheet showing how the PEP 484 typeannotation notation represents various common types in Python 3.

Note

Python Methods Cheat Sheet

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.

Python

Variables¶

Python 3.6 introduced a syntax for annotating variables in PEP 526and we use it in most examples.

Built-in types¶

Functions¶

Python 3 supports an annotation syntax for function declarations.

When you’re puzzled or when things are complicated¶

Standard “duck types”¶

Python

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.

You can even make your own duck types using Protocols and structural subtyping.

Classes¶

Coroutines and asyncio¶

Python List Cheat Sheet Examples

See Typing async/await for the full detail on typing coroutines and asynchronous code.

Miscellaneous¶

Python List Cheat Sheet

Decorators¶

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