Python

Starting with asyncio.run(), coroutines, Tasks, and Futures, learn how Python’s event loop schedules waits, timers, and I/O, and where sequential await, concurrent tasks, and blocking code differ.

Starting with the fundamental distinction between concurrency and parallelism, this guide systematically explains when to use Python’s GIL, threading, multiprocessing, asyncio, and concurrent.futures, how they work together, and how to choose among them.

Build a practical mental model for Python async programming in web backends and AI applications, from iteration protocols, generators, and coroutine objects through awaitables, Tasks, Futures, the event loop, structured concurrency, async iteration, and thread and process pools.