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Mastering Concurrency in Python | 17. Memory Models and Operations on Atomic Types

103 views · Published 23 November 2018 · 0:42 · Indexed 4 October 2026

Channel: Packt · 2018 · Science & Technology

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This is the "Code in Action" video for chapter 17 of Mastering Concurrency in Python by Quan Nguyen, published by Packt. It includes the following topics:

00:11 Simulation in Python

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.

Mastering Concurrency in Python | 17. Memory Models and Operations on Atomic Types

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