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

Debugging


Being able to debug your code is a key skill that any software developer must be able to do. As our systems grow ever more complex, the potential for bugs within our code grows exponentially, and knowing the best practices for debugging in certain scenarios could save you a substantial amount of time.

The techniques I'll be showing you next will work for both single-threaded and multithreaded applications. For brevity, I'll only be demonstrating these techniques on simple, single-threaded applications, but I implore you to try and become as familiar with these tools as possible, and practice using them in multithreaded scenarios.

Make it work as a single thread

Imagine you were writing a new AI-based system that would drastically improve the sales that your website makes, or be able to place trades that would make you a multi-millionaire overnight. You've spent months working on this system, and you are very close to cracking it and making it work perfectly, but you think it's running...