If You Write Python, You Must Understand Asyncio

"A synchronous program executes tasks one after another, meaning each task must finish (including waiting for I/O) before the next one starts. An asynchronous program can switch between tasks while waiting, so multiple tasks make progress concurrently without blocking each other. asyncio provides tools (event loop, coroutines, and tasks) to write asynchronous programs, letting our code perform other work while waiting for I/O instead of sitting idle."

"Process In Python, a process is created with the multiprocessing module, each having its own interpreter and memory space. It's useful for CPU-bound tasks since processes run truly in parallel on multiple cores. Thread A thread in Python (via the threading module) shares memory with other threads in the same process. Because of the GIL, threads don't achieve true parallelism for CPU-heavy work but are great for I/O bound tasks."

asyncio is Python's built-in library for asynchronous programming that uses async/await to write concurrent code enabling tasks to make progress while waiting for I/O. A synchronous program executes tasks sequentially so each task must finish before the next starts, including waiting for I/O. An asynchronous program can switch between tasks during waits so multiple tasks progress concurrently without blocking. asyncio supplies primitives such as an event loop, coroutines, and tasks to schedule and coordinate work. Processes provide true parallelism across cores for CPU-bound work, threads share memory but are limited by the GIL, and coroutines are lightweight, cooperatively scheduled by the event loop.

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