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Mastering Concurrency in Python

Mastering Concurrency in Python

By : Quan Nguyen
1 (1)
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Mastering Concurrency in Python

Mastering Concurrency in Python

1 (1)
By: Quan Nguyen

Overview of this book

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. Mastering Concurrency in Python starts by introducing the concepts and principles in concurrency, right from Amdahl's Law to multithreading programming, followed by elucidating multiprocessing programming, web scraping, and asynchronous I/O, together with common problems that engineers and programmers face in concurrent programming. Next, the book covers a number of advanced concepts in Python concurrency and how they interact with the Python ecosystem, including the Global Interpreter Lock (GIL). Finally, you'll learn how to solve real-world concurrency problems through examples. By the end of the book, you will have gained extensive theoretical knowledge of concurrency and the ways in which concurrency is supported by the Python language
Table of Contents (22 chapters)
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Chapter 7

What is a reduction operator? What conditions must be satisfied so that an operator can be a reduction operator?

An operator is a reduction operator if it satisfies the following conditions:

  • The operator can reduce an array of elements into one scalar value
  • The end result (the scalar value) is obtained through creating and computing partial tasks

What properties do reduction operators have that are equivalent to the required conditions?

The communicative and associative properties are considered to be equivalent to the requirements for a reduction operator.

What is the connection between reduction operators and concurrent programming?

Reduction operators require communicative and associative properties. Consequently, their sub-tasks have to be able to be processed independently, which makes concurrency and parallelism applicable.

What are some of the considerations...

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