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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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Working with Processes in Python

This chapter is the first of three chapters on using concurrency through multiprocessing programming in Python. We have seen various examples of processes being used in concurrent and parallel programming. In this chapter, you will be introduced to the formal definition of a process, as well as the multiprocessing module in Python. This chapter will go through some of the most common ways of working with processes using the API of the multiprocessing module, such as the Process class, the Pool class, and interprocess communication tools such as the Queue class. This chapter will also look at the key differences between multithreading and multiprocessing in concurrent programming.

The following topics will be covered in this chapter:

  • The concept of a process in the context of concurrent programming in computer science
  • The basic API of the multiprocessing...
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