This learning resource introduces students to asynchronous programming in Python using asyncio. It takes you from the underlying concepts of generators and coroutines to the practical implementation of concurrent applications. You will explore how Python executes asynchronous code, how the event loop schedules tasks, how coroutines suspend and resume execution, and how Futures represent results that are not yet available. The material combines conceptual explanations, official Python documenta
Understand why asynchronous programming exists and what problems it solves. Begin with synchronous versus asynchronous execution, concurrency versus parallelism, generators, coroutines, and the `async` and `await` keywords. The objective is to understand the ideas behind asynchronous programming before introducing the asyncio library.
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Explore the internal mechanisms that make asyncio work. Study the event loop, task scheduling, Futures, awaitables, callbacks, cooperative multitasking, and the lifecycle of asynchronous operations. The objective is to move beyond using asyncio APIs and understand how Python coordinates multiple coroutines.
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9 links
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