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

Chapter 10. Reactive Programming

While event-driven programming might revolve around events, in reactive programming, we deal purely with data. In other words, every time we receive a new piece of data, we consider this to be an event. Due to this definition, you could technically call it a branch of event-driven programming. However, due to its popularity and the differences in the way it does things, I couldn't help but put reactive programming in a chapter of its own.

In this chapter, we will dive deeper into one of the most popular libraries available in Python when it comes to reactive programming, RxPY. We'll cover in depth some of the features of this library and how we can utilize this to create our own asynchronous programs.

We'll come to terms with some of the basics necessary of RxPY to get us started:

  • Dealing with observers and observables
  • Lambda functions and how we can use them
  • The multitude of operators and how we can chain these to achieve a desired state
  • The differences between...