Mastering Concurrency in Python | 6. Working with Processes in Python

Mastering Concurrency in Python is available from:

This is the "Code in Action" video for chapter 6 of Mastering Concurrency in Python by Quan Nguyen, published by Packt. It includes the following topics:

00:11 Introductory example in Python
00:28 Determining the current process
00:53 Waiting for processes
01:18 Message passing for a single worker
01:27 Message passing between several workers

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.

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Video created by Quan Nguyen.