Book Image

Mastering Concurrency in Python

By : Quan Nguyen
Book Image

Mastering Concurrency in Python

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)

Building a calculator server with the socket module

The functionality that we are trying to implement is to have a simple request handler that calculates either the sum or the product of a list of integers, and that is included in the data sent from the clients. Specifically, if a client sends the string 1, 2 ,4 to our server, then the server should send back 7 if it is to calculate sums, or 8 if it is to calculate products.

Every server implements some form of data processing, in addition to handling requests coming in from clients and sending the results of that data processing task to those clients. This prototype will therefore serve as a first building block for more extensive servers, with further complex functionalities.

The underlying calculation logic

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