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Python: Performance Optimization

Python developers love Python's high productivity. Unfortunately, many Python applications suffer from slow performance. This course is about concrete approaches for improving the performance of your Python applications.

Dan Tofan - Pluralsight course - Python: Performance Optimization
by Dan Tofan
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What you'll learn

Are your Python applications running slowly? If yes, this course is going to give you concrete approaches to increase the speed of your Python applications. First, you will learn how to measure the performance of Python applications. Second, you will learn how to write faster Python code, such as by using the right data structures. Third, you will learn how to speed up your applications using threads, asyncio and more processes. Take this course and make your Python applications faster!

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About the author

Dan Tofan - Pluralsight course - Python: Performance Optimization
Dan Tofan

As a software engineer and lifelong learner, Dan wrote a PhD thesis and many highly-cited publications on decision making and knowledge acquisition in software architecture. Dan used Microsoft technologies for many years, but moved gradually to Python, Linux and AWS to gain different perspectives of the computing world.

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