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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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Reduction Operators in Processes

The concept of reduction operators—in which many or all elements of an array are reduced into one single result—is closely associated with concurrent and parallel programming. Specifically, because of the associative and communicative nature of the operators, concurrency and parallelism can be applied to greatly improve their execution time.

This chapter discusses the theoretical concurrent approach to designing and writing a reduction operator from the perspective of programmers and developers. From here, this chapter also makes connections to similar problems that can be solved using concurrency in similar ways.

The following topics will be covered in this chapter:

  • The concept of a reduction operator in computer science
  • The communicative and associative properties of reduction operators, and therefore the reason why concurrency...
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