Course 4655
Python is a slow language---but there are many ways to squeeze performance out of it. This hands-on course examines techniques and tools for speeding up your Python apps.
In-Person
Online
In this Python course, you will learn how to:
Prerequisites
You should first complete Learning Tree course 1905, Introduction to Python Training.
This is an advanced course that assumes familiarity with Python programming. However, it applies to all Python communities (e.g., web development, data science, automation).
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This course is for experienced Python programmers looking to expand their Python experience.
Yes. This is an advanced course that assumes familiarity with Python programming. However, it applies to all Python communities (e.g., web development, data science, automation).
The course focuses on gaining performance through using Python code. While languages such as C/C++ and Rust are essential in developing high-performance Python applications, they are beyond the scope of this course.
The course doesn't focus on any particular IDE. Instead, both Visual Studio Code and PyCharm are provided for use in exercises.
Yes. There are various opportunities to apply the ideas presented to sample Python apps.
