Learning Concurrency in Python: Build highly efficient, robust, and concurrent applications

by Elliot Forbes

Key Features Build highly efficient, robust, and concurrent applications Work through practical examples that will help you address the challenges of writing concurrent code Improve the overall speed of execution in multiprocessor and multicore systems and keep them highly available Book Description

Python is a very high level, general purpose language that is utilized heavily in fields such as data science and research, as well as being one of the top choices for general purpose programming for programmers around the world. It features a wide number of powerful, high and low-level libraries and frameworks that complement its delightful syntax and enable Python programmers to create.

This book introduces some of the most popular libraries and frameworks and goes in-depth into how you can leverage these libraries for your own high-concurrent, highly-performant Python programs. We'll cover the fundamental concepts of concurrency needed to be able to write your own concurrent and parallel software systems in Python.

The book will guide you down the path to mastering Python concurrency, giving you all the necessary hardware and theoretical knowledge. We'll cover concepts such as debugging and exception handling as well as some of the most popular libraries and frameworks that allow you to create event-driven and reactive systems.

By the end of the book, you'll have learned the techniques to write incredibly efficient concurrent systems that follow best practices.

What you will learn Explore the concept of threading and multiprocessing in Python Understand concurrency with threads Manage exceptions in child threads Handle the hardest part in a concurrent system — shared resources Build concurrent systems with Communicating Sequential Processes (CSP) Maintain all concurrent systems and master them Apply reactive programming to build concurrent systems Use GPU to solve specific problems About the Author

Elliot Forbes has worked as a full-time software engineer at a leading financial firm for the last two years. He graduated from the University of Strathclyde in Scotland in the spring of 2015 and worked as a freelancer developing web solutions while studying there.

He has worked on numerous different technologies such as GoLang and NodeJS and plain old Java, and he has spent years working on concurrent enterprise systems. It is with this experience that he was able to write this book.

Elliot has even worked at Barclays Investment Bank for a summer internship in London and has maintained a couple of software development websites for the last three years.

Table of Contents Speed It Up! How About Parallel It? Life of Thread Synchronization Between Threads Communication Between Threads Debug and Benchmark Threads Executors and Pools Multiprocessing Event-driven Programming Reactive Programming Using GPU Choosing a Solution

Genres: Programming, Technology, Nonfiction

360 pages, Paperback

Published August 16, 2017

About the author

Librarian Note: There is more than one author in the Goodreads database with this name.

Reviews

[Illia · Rating 2 out of 5]

Краще документацію почитайте, тому що тут теж саме але з дурнуватими коментаріями.

[Bao Nguyen · Rating 2 out of 5]

This book is useful for you to skim over all the options for you to implement concurrency and parallelism in python. However, I found it goes too broad and not much detail such as pros and cons of each approach.

[Satyajeet Jha · Rating 4 out of 5]

decent . if you are done with most blogs out there on internet , you can give this one a try .Though it does not cover everything in very depth but good enough to get you started . i enjoyed reading this book .

[William · Rating 3 out of 5]

Decent book.
Has many formatting issues.
Most of the code examples and enough of the text to make me think no one proof read the kindle version