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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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PyFunctional

PyFunctional is a library that's worth noting at this point as it follows a similar paradigm to that of reactive programming. It essentially enables us to create functional programs using the Python programming language.

Both functional and reactive programming tend to utilize pure functions that feature no side effects and store no additional state. We define functions that will always return the same results regardless of what else is happening within our programs. The key difference between both PyFunctional and RxPY is the fact that while we handle streams in a very similar fashion in both libraries, the way that this data is handled is somewhat different. RxPY is far more focused on the way that data and subsequently events are handled within systems. PyFunctional is more focused on the transformation of data using functional programming paradigms.

PyFunctional...

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