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Digging into asyncio
This document discusses key concepts for understanding asyncio in Python including I/O multiplexing, generators, coroutines, futures, and tasks. It notes that generators produce sequences instead of single values using yield, coroutines are generators that can pass data between nested generators using yield from, futures hold states and results for thread/process evaluation, and tasks wrap coroutines to execute them in event loops. Code examples for these concepts can be found at a GitHub URL provided. It also briefly mentions uvloop which is a high-performance event loop based on libuv.
Digging into asyncio
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- 2. BEFORE TO GO… -socket knowledge - I/O Model: Multiplexing I/O - python: generator, coroutine, future, task
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- 6. PYTHON MODULES • generator Createyield keyword. A function that produces a sequence of results instead of a single value. • coroutine Basically generator with “yield from” keyword. Able to create generators inside generators that just like a tunnel, pass the data back and forth from the inner-most to the outer-most generators. Coroutines are functions that can be stopped and resumed while being run. • future A design for a package that facilitates the evaluation of callables using threads and processes. Futures are objects that have the __await__() method implemented, and their job is to hold a certain state and result. • task A special futures, which wrap around coroutines, responsible for executing a coroutine object in an event loop.
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