Book Image

Learning Concurrency in Python

By : Elliot Forbes
Book Image

Learning Concurrency in Python

By: Elliot Forbes

Overview of this book

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.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Libraries not covered in this book


As a disclaimer, there have been a number of different libraries that I researched while writing this book. However, due to concerns of brevity, I've had to cap the number of libraries that I could cover within each chapter.

It would be remiss of me to not present to you some of the excellent resources currently available that present far more in-depth coverage of some of the topics I've unfortunately not been able to expand upon. I also feel that it's worthwhile knowing what further material is available that will continue to expand your knowledge of software engineering with Python.

GPU

The GPU presents one of the topics that I feel I could not cover in detail within this book. There lies an incredible amount of potential in the utilization of the GPU to improve the performance of your applications, and as such, it's one for which I highly encourage further study.

PyGPU

PyGPU is one such library that I would encourage further research into. PyGPU is designed...