Async Python Playground

Welcome to the Async Python Playground repository! 🚀

This repository serves as a comprehensive resource for learning about asynchronous programming in Python, with a focus on the asyncio module and the latest features introduced in Python 3.11, 3.12 and 3.13. Whether you’re a beginner looking to dive into async programming or an experienced developer seeking to explore advanced techniques, this repository has something for everyone.

Key Features:

Structured Content: Explore a curated collection of code examples, tutorials, and explanations covering a wide range of async Python topics.
Clear Documentation: Each example is accompanied by detailed documentation, guiding you through the concepts, syntax, and best practices of async programming.
Python latest versions Coverage: Discover the newest capabilities of Python and how they enhance async programming in Python.
Interactive Learning: Experiment with the provided code examples and gain hands-on experience with async Python in action.
Community Engagement: Join a growing community of developers interested in async Python, contribute your own examples, and collaborate with others to explore async programming further.

Table of Contents:

1. • Introduction to Asynchronous Programming
     • What is asynchronous programming?
     • Thread vs process, Concurrency vs parallelism, GIL
     • Event loops and coroutines
2. • Getting Started with asyncio
     • Overview of the asyncio module in Python
     • Runners
     • Awaiting coroutines, creating tasks and using event loop
     • Other important APIs of asyncio
3. • Handling CPU and I/O Bound Tasks
     • CPU-bound vs I/O-bound
     • Performing asynchronous I/O operations with asyncio and httpx
     • Performing asynchronous CPU operations
     • Strategies for balancing CPU and I/O-bound workloads in async Python applications
     • Process Creation in Python: Fork vs. Spawn
4. • Synchronization and Coordination
     • Managing shared resources and avoiding race conditions
     • Synchronization primitives: locks, semaphores, and barriers
     • Coordinating asynchronous tasks with asyncio’s synchronization tools
5. • Advanced Techniques
     • Error handling and exception propagation in async Python
     • Chaining coroutines using callback and event to compose more complex async workflows
     • asyncio Queue and consumer-producer workflows
     • asyncio Future
6. • Exploring Features of New Python Versions
     • Overview of new features and enhancements in Python 3.12
     • Highlighting async-related improvements and additions in Python 3.11, 3.12 and 3.13
     • Practical examples demonstrating the use of newer Python versions features in async programming
7. • Web Applications
     • ASGI vs. WSGI: Understanding the differences and benefits
     • Building RESTful APIs with async Python: Introduction to Starlette microframework