👋 Welcome!

This repository is a practical, to-the-point guide for developers looking to master modern Python. Whether you're a beginner taking your first steps or an experienced programmer leveling up, you'll find extensive documentation, best practices and runnable code.

The core philosophy is simple: learn by doing. I get straight to the point so you can spend less time reading and more time programming.

This guide is Markdown, so it is easily opened using Visual Studio Code or Github. It contains extensive documentation, code examples and best practices to help you become a proficient Python programmer.

🚀 Execute Code Examples

Explore the 📁 examples directory for interactive Python code examples, easily executable in Jupyter Notebooks using a Docker DevContainer within Visual Studio Code.

This setup ensures a consistent and streamlined coding environment, ideal for learning and experimentation.

🎯 About Python

• About Python
• A Compiler vs an Interpreter
• The Python Interpreter

✨ Python Basics

• Strings
• Flow Control
• Creating Functions
• Typing
• Scopes and References
• Exeptions
• Enums
• Lambdas
• Callable
• Generics

📜 Strings

• Strings
• Flow Control
• Creating Functions
• Typing
• Scopes and References
• Exeptions
• Enums
• Lambdas
• Callable
• Generics

📦 Containers

• Lists
• Sequence
• Iterating
• Tuples
• Dictionaries
• Mapping
• Sets
• Comprehensions
• Unpacking
• Generators and Iterators
• Array

🏛️ Object Oriented Programming (OOP)

• About Classes
• Creating Classes
• Magic Methods
• Properties
• Naming Conventions
• Static Methods
• Class Methods
• Data Classes
• Inheritance
• Abstract
• Final

🗃️ Packages

• Namespaces
• Modules
• Creating Packages

🛠️ Scripting

• About
• File Handling
• Logging
• Subprocesses
• Executing Python
• Custom CLI (click)
• Environment Variables

⚡ Concurrency

• Introduction To Concurrency
• Global Interpreter Lock (GIL)
• Threading Module
• Asyncio Module
• Multiprocessing Module
• Concurrent Module

🌐 Networking

• Introduction To Networking
• Sockets
• HTTP Requests

📊 Data

• Working with Bytes
• Numpy