Mastering Concurrency in Python | 16. Designing Lock-Based and Mutex-Free Concurrent Data Structures

Mastering Concurrency in Python is available from:

This is the "Code in Action" video for chapter 16 of Mastering Concurrency in Python by Quan Nguyen, published by Packt. It includes the following topics:

00:12 Lockless counter and race condition
00:34 Analysis of the scalability of the counter data structure
00:56 Implementing approximate counters in Python
01:22 Implementing a simple network data structure in Python and race conditions
01:35 RCU as a solution

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.

[alamatel]

what is in the files ? how do we actually design