Learning Concurrency in Python - Udemy

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 be creative.

This course 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 course 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 video course, you'll have learned techniques to write incredibly efficient concurrent systems that follow best practices.

About the Author

Elliot Forbes has worked as a full-time software engineer at a leading financial firm for the last two years. He graduated from the University of Strathclyde in Scotland in the spring of 2015 and worked as a freelancer developing web solutions while studying there. He has worked on numerous different technologies such as Golang, Node .js, and plain old Java, and he has spent years working on concurrent enterprise systems.Elliot has even worked at Barclays Investment Bank for a summer internship in London and has maintained a couple of software development websites for the last three years.