Execute Single and Multiple Tasks
Explore how to execute single and multiple asynchronous tasks in Python using the asyncio module and event loops. Understand co-operative multitasking, futures, and promises to manage non-blocking function calls effectively.
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In asynchronous programming, the execution of a function is usually non-blocking. In other words, each time you call a function it returns immediately. However, that function does not necessarily get executed right away. Instead, there is usually a mechanism (called the “scheduler”) which is responsible for the future execution of the function.
The problem with asynchronous programming is that a program may end before any asynchronous function starts. A common solution for this is for asynchronous functions to return “futures” or “promises”. These are objects that represent the state of execution of an async function. Finally, asynchronous programming frameworks typically have mechanisms to block or wait for those async functions to end based on those ...