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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.
Seamless distributed computing for Python functions
shell data decorator with icons support
Semantic caching for Python Functions
A versatile timing decorator
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
A collection of Python code tailored for absolute beginners, covering fundamental concepts and practical examples to facilitate learning.
Custom Generic ETL for ecommerce site
A library of decorators to communicate, monitor, debug and enforce behavior
Object Oriented Programming in Python
The notes about CS, general terms and things I'm researching.
My python utils library
Everything I learned on the roadmap
A Python3 decorator for automated checking of function-call argument types/values using std-lib ‘inspect'.
A decorator-like way of writing hooks for your Rails controllers
Design and implement a data warehouse to manage automobile accident cases across all 49 states in the US, using a star schema and Snowflake for the data warehouse architecture.
Practice decorators in python with many examples
The Python Topics Advanced repository is designed to help Python developers enhance their skills by covering advanced topics and providing practical examples. This repository is particularly useful for those preparing for technical interviews or seeking to deepen their understanding of complex Python concepts.
Full stack CRUD application using React js with Vite and Python with Django.
Day 55 of #100DaysOfCoding
Day 56 of #100DaysOfCoding
Day 57 of #100DaysOfCoding
Python practices
Provides a decorator to easily measure and optionally save the execution times.