Python Performance Optimization

Python is an interpreted, object-oriented programming language. it incorporates modules, exceptions, dynamic typing, very high level dynamic data types, and classes. python combines remarkable power with very clear syntax.

Despite it’s popularity, it’s often accused of being slow. In this course you will learn how to optimize the performance of your Python code. You will learn various tricks to reduce execution time.

A lot of people have different definitions of performance. When I say “performance”, I’m talking about:

How quickly does the code execute? Meaning how long until the output is returned?

Of course, there are other metrics for measuring the performance of a system, but this code has a focus on speed.

The faster your code executes, the better it is. Who has time to wait for computer execution? Especially when it’s not necessary. If you come from another programming language, you may not know about some ways to speed up your Python code. If you are a Python coder, you may not know about these tricks either.

If you already know Python and want to optimize your code or increase your Python skills, this course is for you. This is an intermediate course, you should already know how to write Python code. But if you are a beginner with prior programming experience, you might be able to follow along with all the concepts explained in this course.

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!