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Learning Concurrency in Python

Learning Concurrency in Python

By : Forbes
3.3 (3)
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Learning Concurrency in Python

Learning Concurrency in Python

3.3 (3)
By: 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 (13 chapters)
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Testing strategies


While this chapter might be titled Debugging and Benchmarking, I've often found that one of the best ways to debug your codebases is to build up a range of integration tests that cover as much of your codebase as is practical. We'll begin by looking at the main reason as to why we test our code bases.

Why do we test?

So, we've gotten roughly halfway through this book, and not once have we defined any sort of tests, or ensured that the programs that we have written are verifiably correct. Up until this point, you've taken my word that the programs I have shown you do everything that I've said they do. But how can we guarantee that they give us the same results every time regardless of how many changes we make to them?

This is where your testing strategy comes into play.

In professional software development, testing your software to try and limit the bugs is one of the most important things you can do. All great software developers implement a decent testing strategy surrounding...

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Learning Concurrency in Python
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