The asyncio library in Python facilitates asynchronous programming, enabling better efficiency by allowing concurrent execution of independent tasks. It provides both high-level and low-level APIs, with high-level APIs being more commonly used for general-purpose programming. This article focuses on how to implement asyncio's high-level APIs to efficiently run asynchronous tasks by introducing concepts such as coroutines and tasks. Importantly, it discusses practical usage, like employing the asyncio.run function to execute asynchronous functions and maintain clarity in control flow within the program.
Python's asyncio library allows you to write more efficient applications by enabling concurrent execution of independent tasks, without waiting for them to finish sequentially.
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