It's time for us to talk about async/await in Python. That's a big and difficult topic but very important one if you're working with network.
Everything your program does belongs to one of the two classes:
- CPU-bound tasks. This when you do a lot of computations, and fan of your PC makes helycopter noises. You can speed up computations with multiprocessing, which is pain in the ass to do correctly.
- IO-bound tasks. This is when your code does nothing except waiting for a response from outside world. It includes making all kinds of network requests (sending logs, querying database, crawling a website), network responses (like when you have a web app), and working with files. You can speed up it using async/await syntax.
Basics are quite simple:
- If you define a function using
async definstead of just
def, it will return a "coroutine" when is called instead of immediately running and calculating the result.
- If you call inside an async function another async function with adding
awaitbefore it, Python will request execution of this coroutine, switch to something else, and return the result when it is available.
- The module asyncio contains some functions to work with async code and scheduler that decides when to run which task.
These a very basic overview. You can read the official asyncio documentation to learn more. In follow-up posts we will cover most of asyncio functions, one-by-one.