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gto76/python-cheatsheet

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TLDR

A comprehensive single-file Python reference guide covering syntax, standard library, and common patterns from basics to advanced topics like async and multimedia.

Mindmap

mindmap
  root((repo))
    What it does
      Quick syntax lookup
      Standard library reference
      Common patterns
    Content areas
      Collections and data types
      System and file operations
      Data formats and parsing
      Concurrency and async
    Use cases
      Look up exact syntax
      Find available methods
      Refresh on patterns
    Audience
      Intermediate Python users
      Developers needing quick ref
      People learning new modules

Things people build with this

USE CASE 1

Look up the exact syntax for a Python feature you half-remember, like dictionary methods or list comprehensions.

USE CASE 2

Find how to use a standard library module like itertools, datetime, or json without leaving your editor.

USE CASE 3

Refresh your memory on class decorators, exception handling, or async/await patterns.

USE CASE 4

Quickly check available parameters for built-in functions or common operations like file I/O.

Tech stack

PythonMarkdown

Getting it running

Difficulty · easy Time to first run · 5min
License could not be detected automatically. Check the repository's LICENSE file before use.

In plain English

This repository is a comprehensive Python cheatsheet, a single, very long reference document that covers the Python language from basic data structures all the way to advanced topics like threading, async programming, and multimedia processing. Its goal is to serve as a quick-lookup reference for Python syntax, standard library features, and common patterns, all in one place rather than spread across multiple documentation pages. The cheatsheet is structured as a plain Markdown file (which also serves as the repository's README) organized into eight major sections: collections like lists, dictionaries, sets, and generators; data types including strings, regular expressions, and date/time; syntax rules covering classes, decorators, and exceptions; system operations like file I/O and command-line arguments; data formats including JSON, CSV, SQLite, and binary data; miscellaneous topics like logging and concurrency; operating-system-facing libraries for plotting, web scraping, and building console apps; and multimedia sections covering NumPy, image processing, audio, Pygame, Pandas, and Plotly. Each entry shows the syntax with brief inline comments. You would use this cheatsheet when you know roughly what you want to do in Python but need to look up the exact syntax or available methods for a built-in type or module, for example, how to use itertools, what methods a dictionary has, or how to format a date string. It is aimed at people who already know Python basics and want a fast reference rather than a beginner tutorial. The entire resource is a single Python-annotated Markdown file with no dependencies or runtime.

Copy-paste prompts

Prompt 1
Show me how to use Python's itertools module with examples from the python-cheatsheet repo.
Prompt 2
What are all the methods available on a Python dictionary? Reference the python-cheatsheet.
Prompt 3
How do I format a date string in Python? Give me the syntax from the python-cheatsheet.
Prompt 4
Explain Python decorators and show me the syntax examples from the python-cheatsheet.
Prompt 5
How do I read and write CSV files in Python? Show me the code from the python-cheatsheet.
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