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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.
Everything You Need to Know About Python Performance Optimization
This course is a comprehensive and well-structured introduction to Python Performance Optimization. The instructor, Frank Anemaet, is a leading expert in the field with a wealth of experience in Development to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
The course is divided into sections, each of which covers a different aspect related to Software Engineering. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning Python Performance Optimization. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.
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