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

How do they work on a CPU?


Understanding the differences outlined in the previous section between both concurrency and parallelism is essential, but it's also very important to understand more about the systems that your software will be running on. Having an appreciation of the different architecture styles as well as the low-level mechanics helps you make the most informed decisions in your software design.

Single-core CPUs

Single-core processors will only ever execute one thread at any given time as that is all they are capable of. However, in order to ensure that we don't see our applications hanging and being unresponsive, these processors rapidly switch between multiple threads of execution many thousands of times per second. This switching between threads is what is called a "context switch," and involves storing all the necessary information for a thread at a specific point in time, and then restoring it at a different point further down the line.

Using this mechanism of constantly...