Mastering Concurrency in Python | 1. Advanced Introduction to Concurrent and Parallel Programming

Mastering Concurrency in Python is available from:

This is the "Code in Action" video for chapter 1 of Mastering Concurrency in Python by Quan Nguyen, published by Packt. It includes the following topics:

00:12 Example 1 – Checking whether a non-negative number is prime
00:36 Example 2 – inherently sequential tasks

Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming.

Connect with Packt:

Video created by Quan Nguyen.