Course Features
Duration
4 weeks
Delivery Method
Online
Available on
Lifetime Access
Accessibility
Mobile, Desktop
Language
English
Subtitles
English
Level
Advanced
Effort
4 hours per week
Teaching Type
Self Paced
Course Description
Course Overview
Alumni Network
Human Interaction
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Skills You Will Gain
What You Will Learn
Improve performance of Python programs
Apply parallelisation techniques using Python
Calculate numerical expressions efficiently in Python
Identify performance bottlenecks in Python programs
Develop higher performance extensions to Python
Target Students
The course is designed for Python programmers who want to speed up their codes
You should be familiar with the basics of the Python programming language
Course Instructors
Course Reviews
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