3 Ways To Run A Python Function Asynchronously
100x The Speed of Your Code
Many developers hate the nuisance of waiting for an HTTP request or an API call to run before preceding code blocks are run.
By default, Python codes are run synchronously. This can not only slow the user’s experience but also takes a lot more time to complete tasks and prevents scalability.
If you web scrape a lot, you’ve probably encountered a situation whereby you need to scrape and store the data you scraped, but your entire code block stops when storing the data, and further scrapes are halted. This problem can also arise in different applications which require frequent and multiple API calls from different users.
This post shows you how to fix that using asynchronous Python programming. You would also understand the difference between asynchronous and synchronous, and how you can use these design principles as a day-to-day heuristic.
What are Synchronous Operations?
Have you ever been stuck in a one-way traffic?
Unless every car in front of you gets passed the traffic, you’re going to be stuck. If…
