[CS316] Functional Programming Tools | Filter/Map/Reduce
In this lecture, Prof. Anis Koubaa covers the essentials of Functional Programming as part of the "Python for Data Science" chapter in the CS316: Introduction to AI and Data Science course. This session introduces key functional programming tools in Python such as filter(), map(), and reduce(), highlighting their significance in data science workflows. These functions allow for more efficient data manipulation and transformation using concise, expressive code.
Throughout the lecture, Prof. Koubaa demonstrates practical examples of how these tools can be applied to real-world data science problems, providing viewers with an understanding of how functional programming can simplify complex tasks.
Ideal for students or professionals who want to deepen their understanding of Python's functional programming capabilities in a data science context.
Date: September 2024
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