Getting Started with Python Concurrency

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Until recently, you could speed up your programs by simply running them on newer, faster hardware. Now, instead of
making CPU's faster, hardware makers are adding more CPU cores to your computing devices. To make programs run faster
today, employing concurrency techniques to get your programs running on multiple cores simultaneously is paramount. In
this course, Getting Started with Python Concurrency, you'll learn how to make your Python programs more efficient,
responsive, and faster using Python's concurrency packages. First, you'll explore how to choose the right concurrency
package for your task. Next, you'll discover how to distribute a task to worker processes to speed up execution by
running on multiple cores. Finally, you'll cover how to do node.js style asynchronous programming using the asyncio
package. When you're finished with this course, you'll have a solid understanding of concurrency concepts and how to
apply them in Python in a simple and readable manner to achieve greater performance results.

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