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Mastering Concurrency in Python | 19. Testing, Debugging, and Scheduling Concurrent Applications

145 views · Published 23 November 2018 · 6:12 · Indexed 28 September 2026

Channel: Packt · 2018 · Science & Technology

Mastering Concurrency in Python is available from:

Packt.com: http://bit.ly/2DSKEcX

Amazon: https://amzn.to/2r2Pj3A

This is the "Code in Action" video for chapter 19 of Mastering Concurrency in Python by Quan Nguyen, published by Packt. It includes the following topics:

00:12 Blocking scheduler
00:42 Background scheduler
01:07 Executor pool
02:12 Running on the cloud
05:25 Unit testing
05:37 Testing programs concurrently

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 | 19. Testing, Debugging, and Scheduling Concurrent Applications

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