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

Multiprocessing managers


Within the multiprocessing module, we have the Manager class; this class can be utilized as a means of controlling Python objects, and providing thread and process safety within your Python applications.

We can initialize a new Manager like this:

Import multiprocessing
myManager = multiprocessing.Manager()

With this manager object, we can then start to share things such as lists and dicts across multiple processes, and typically, it's the first port of call you'd go to if you needed to implement your own form of communication.

Namespaces

Managers come with this concept of namespaces; these namespaces feature no public methods that we can call, but they are useful in the sense that they have writable attributes.

In situations where you need a quick and dirty method for sharing several attributes across multiple processes, this is the prime candidate for doing so.

Example

In this example, we look at how to utilize namespaces in order to share some data across both a main process...