Python is the lingua franca of data science and artificial intelligence.
Because of this, it's a useful time to learn how to use the language's powerful and build-in tools for concurrency and parallelism.
This article will cover the basics of concurrency and parallelism before diving into the modules that Python provides for multithreading, multiprocessing, and asynchronous programming.
NOTE: You can find all the code for this article in this Github repository I put together for you to follow along with.