Concurrent Programming in Python [Video]
In this course, you will skill-up with techniques related to various aspects of concurrent programming in Python, including common thread programming techniques and approaches to parallel processing.
Filled with examples, this course will show you all you need to know to start using concurrency in Python. You will learn about the principal approaches to concurrency that Python has to offer, including libraries and tools needed to exploit the performance of your processor. Learn the basic theory and history of parallelism and choose the best approach when it comes to parallel processing.
After taking this course you will have gained an in-depth knowledge of using threads and processes with the help of real-world examples.Style and Approach
An exhaustive course—packed with step-by-step instructions, working examples, and helpful advice—to ensure you master the libraries and tools needed to exploit concurrent programming in Python.
|Course Length||2 hours 20 minutes|
|Date Of Publication||19 Feb 2018|
|Advanced OSes and Programming Environments|
|Concurrency Versus Parallelism with Examples|
|Operating System’s Building Blocks of Parallel Execution|
|Libraries in Python Used to Achieve Concurrency and Parallelism|
|Python’s Global Interpreter Lock (GIL)|