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, ...