Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn about object-oriented programming in Python.
Tutorials on advanced python topics, and literate programming framework to write them (see README.md)
A decorator for decorators that allows you to see the parameters of a decorated function when using it in PyCharm.
Fast and easy dependency injection framework.
shell data decorator with icons support
Seamless distributed computing for Python functions
Semantic caching for Python Functions
Lightweight CQRS library for async Python projects.
Python decorator for precise measurement of function execution time.
A versatile timing decorator
Python Memoizer for classes, functions, and methods
A collection of Python code tailored for absolute beginners, covering fundamental concepts and practical examples to facilitate learning.
YouTube content for only Python
Explore the depths of Python with advanced concepts like metaprogramming, memory management, asyncio, concurrency, CPython internals, testing, and automation. Learn, practice, and master Python’s full potential
Custom Generic ETL for ecommerce site
A library of decorators to communicate, monitor, debug and enforce behavior
A decorator-like way of writing hooks for your Rails controllers
Python practices
Repo for general concepts for working with python (e.g. regex, files operations, working with DB's)
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