In this tutorial, I want to share an example on how we can use asynchronous programming to speed up make API request calls in Python using the asyncio library.
Asynchronous programming is a type of programming that allows for operations to run concurrently, and asynchronous programming is often considered an advanced topic due to its complexity, debugging challenges, race conditions, and resource management.
As a data analytics consultant who work frequently with REST APIs, using the asyncio Python library, I am able to cut down the time to make multiple REST API calls by at least 50% and managing multiple database workflow all at the same time.
📑 Source Code: Source Code: How To Make Multiple API Calls Concurrently With Asyncio In Python (Asynchronously Programming)
📑 asyncio Documentation: https://docs.python.org/3/library/asy...
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00:00 - Intro (asynchronous programming)
00:40 - Exercise walkthrough
00:59 - Create the functions regularly (synchronously)
05:46 - Create the functions asynchronously
#asyncio #python #multithreading #requests
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