Uploaded July 2023 | Updated September 2026, 1 week ago
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: docs.python.org/3/library/asyncio.html
► Buy Me a Coffee? Your support is much appreciated!
-------------------------------------------------------------------------------------------
☕ Paypal: paypal.me/jiejenn/5
☕ Venmo: @Jie-Jenn
💸 Join Robinhood with my link and we'll both get a free stock: bit.ly/3iWr7LC
► Support my channel so I can continue making free contents
---------------------------------------------------------------------------------------------------------------
🛒 By shopping on Amazon → amzn.to/2JkGeMD
👩💻 Follow me on Linked: linkedin.com/in/jiejenn
🌳 Becoming a Patreon supporter: patreon.com/JieJenn
✉️ Business Inquiring: YouTube@LearnDataAnalysis.org
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
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: docs.python.org/3/library/asyncio.html
► Buy Me a Coffee? Your support is much appreciated!
-------------------------------------------------------------------------------------------
☕ Paypal: paypal.me/jiejenn/5
☕ Venmo: @Jie-Jenn
💸 Join Robinhood with my link and we'll both get a free stock: bit.ly/3iWr7LC
► Support my channel so I can continue making free contents
---------------------------------------------------------------------------------------------------------------
🛒 By shopping on Amazon → amzn.to/2JkGeMD
👩💻 Follow me on Linked: linkedin.com/in/jiejenn
🌳 Becoming a Patreon supporter: patreon.com/JieJenn
✉️ Business Inquiring: YouTube@LearnDataAnalysis.org
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
