Python Patterns explains common software design patterns through examples in Python.
Python Cheatsheet
Review Python syntax, standard idioms, and common programming patterns in this reference.
About Python Cheatsheet
The Python Cheatsheet is a web reference that gathers Python syntax, standard idioms, and common programming patterns on one page. Its table of contents groups topics into eight sections: collections, data types, syntax rules, system calls, data formats, miscellaneous topics, pip packages, and multimedia. Each entry is a short line of code with a brief comment, such as list methods, dictionary and set operations, and the use of the __main__ check.
The page works best as a quick review of syntax and common patterns. Its notes are one-line summaries, so it does not replace a step-by-step course or a full library manual. The text uses the term "collection" in place of "iterable" and links to a page on duck types for its reasoning. Pricing is unknown.
Key features
- Reference entries for lists, dictionaries, sets, tuples, ranges, and generators
- Syntax notes on functions, decorators, classes, enums, and exception handling
- Examples of system calls for printing, input, files, paths, and command-line arguments
- Examples of data formats including JSON, pickle, CSV, SQLite, and structs
- Sections on third-party pip packages such as plotting, tables, GUIs, and scraping
- A download option for the cheatsheet as a text file
Best for: Learners who already know basic Python and want to review syntax, standard idioms, and common patterns in one place.
Good for
- Covers a wide range of Python topics on a single page
- Uses short code examples with brief inline comments
- Can be downloaded as a text file
Watch out for
- Entries are brief one-line notes rather than full explanations
- Content is provided in English only
- Not a substitute for a structured course or full documentation
Python Cheatsheet at a glance
- Category
- Education & Learning › Learn Python
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Python Cheatsheet FAQ
Can I download the cheatsheet?
The homepage offers a download option for the cheatsheet as a text file.
Does the cheatsheet cover third-party libraries?
Yes. A Pip Packages section includes entries on topics such as progress bars, plotting, tables, GUI apps, scraping, web, and profiling.
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