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Python Cheatsheetsss 🐍

Should I slow down with the memes? Should I, shouldn't I...? I must admit that sometimes, I simply can't deny myself the pleasure - and Python is making it strangely easy. Anyway: as you can imagine, this is our 🐍 Python's 🐍 main hub, operations room, nexus, Firelink Shrine, and sanctuary. Why? This is the file granting you access to the entirety of the cheatsheets that I prepared (or that I am still preparing) for you.

If by any chance you can't find a link redirecting you to each section, it means that the content is still not available. As for the rest, and since I am aware of the density of the content itself, I also added a short description of the elements you'll find per chapter.

A reference to Metal Gear Solid in the shape of a snake smoking a cigarette.


Table of Contents

  1. Introduction to Python:

    • Basic syntax and data types (integers, floats, strings)
    • Variables and assignments
  2. Control Flow:

    • Conditional statements (if, else, elif)
    • Loops (for, while)
  3. Functions: --> 🚧 Under construction! 🚧

    • Defining functions
    • Parameters and return values
    • Scope and lifetime of variables
  4. Data Structures:

    • Lists
    • Tuples
    • Dictionaries
    • Sets
  5. Built-in Functions:

    • Essential built-in functions (len, type, range, etc.)
    • Commonly used methods for strings, lists, dictionaries, and sets
  6. Comprehensions:

    • List comprehensions
    • Dictionary comprehensions
    • Set comprehensions
  7. String Manipulation:

    • String indexing and slicing
    • Common string methods (split, join, find, replace)
  8. String Formatting:

    • Old-style formatting (%)
    • New-style formatting (str.format())
    • f-strings (formatted string literals)
  9. File Handling:

    • Reading from and writing to files
  10. Exception Handling:

    • Try, except, else, and finally blocks
    • Handling specific exceptions
  11. Advanced Topics (Optional):

    • Decorators
    • Generators
    • Context managers
  12. Additional Libraries (Optional):

    • Introduction to popular libraries (e.g., NumPy, Pandas, requests)

🔙 Back to Main Index


🏛 License

These words live under the hopefully-sssolid structure of the MIT License, but of course, I do not own any specific external links or images that you may find included in my work. For each one of them, I'll mention the original author, as it is crucial to preserve the integrity of other people's work; for instance, this hilarious teaser image displaying a very-sssolid Snake belongs to RazorSceptile. Kudos, dear!

As for the rest, thank you kindly to all the people referenced from now on! Oh, and remember that you can make the Dinosaur extremely happy if you...


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