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

Basic reactive programming


Reactive programming is a paradigm that is totally unlike that of your more traditional imperative style of programming. Being aware of the strengths and weaknesses of reactive programming could help you turn software disasters into potential successes.

With reactive programming, we can totally destroy the imperative style and instead focus on representing our data as a stream of events. We can subscribe to these subsequent streams and take action upon receiving these events. This helps us simplify our system's flow that could quickly become very unwieldy and unmaintainable if we were to follow a more traditional architecture and style.

Reactive libraries take away the complexity of us having to push our events to various functions within our systems, and enable us to effectively work with data as queryable, real-time streams. We can essentially fashion programs that will run infinitely against an infinite stream of events such as constant stock quotes or social...