Python Basics

This repository is intended to cover almost every aspect of fundamental building blocks of Python, and also is supposed to be a reference point for any specific functionality you might be looking for in Python.

Reference: Real Python

References

• Datatypes:

  • Floating Point Arithmetic: Issues and Limitations
  • Strings in Python
  • Built-in functions
  • Official docs: Built-in functions

• Variables:

  • Object References
  • Object Identity
  • Python Naming Conventions
  • Idiomatic Python

• Operators:

  • Arithmetic Operators
  • Logical Operators
  • Python Operator Precedence

• Lists:

  • How to Use sorted() and sort() in Python
  • Shallow vs Deep Copying of Python Objects

• Sets:

  • Operating on a set
  • Modifying a set
  • Frozen sets

• Python Lexical Structure

• Control flow:

  • pass statement
  • while loop
  • Python: the guts of for loop
  • The range function
  • Comprehending Python’s Comprehensions

• IO:

  • The string modulo operator
  • string.format()
  • f-strings

• Functions:

  • Argument passing
  • Python args and kwargs: Demystified
  • Keyword only arguments
  • Position only arguments
  • Docstring convention
  • Documenting Python Code: A Complete Guide
  • Python function annotations

• Regular Expressions:

  • Metacharacters supported by re module
  • Online Regex tester and debugger: Regex 101
  • Regex Demystified
  • Modify Regex matching using Python flags
  • re-module functions
  • Match Object Methods and Attributes

• OOP:

  • super() in Multiple Inheritance
  • Inheritance and Composition: A Python OOP guide
  • C3 superclass linearization Python
  • Operator, Function Overloading - A Complete Example
  • Python Data Classes
  • Python Meta Classes

• Decorators:

  • Primer on Python Decorators
  • Fancy Decorators
  • Function attributes in Python
  • functools.update_wrapper()
  • functools.lru_cache()

• Concurrency:

  • What the heck is the event loop anyway? by Philip Roberts
  • asyncio Design Patterns
  • Async IO’s Roots in Generators
  • Async IO in Python: A Complete Walkthrough
  • I don't understand Python's Asyncio
  • What Is the Python Global Interpreter Lock (GIL)?

• Setup & Dependency Management:

  • An Effective Python Environment: Making Yourself at Home
  • What Is Pip? A Guide for New Pythonistas
  • Pipenv: A Guide to the New Python Packaging Tool
  • Managing Multiple Python Versions With pyenv

• Testing:

  • Effective Python Testing With Pytest
  • doctest — Test interactive Python examples

• Idiomatic:

  • Python Best Practices for More Pythonic Code
  • Refactoring Python Applications for Simplicity
  • Python Code Quality: Tools & Best Practices
  • Python Application Layouts: A Reference

• More:

  • Python eval(): Evaluate Expressions Dynamically
  • How to Use Python Lambda Functions
  • Primer on Python Decorators
  • How to Stand Out in a Python Coding Interview
  • Python Practice Problems: Get Ready for Your Next Interview