Scopes and Lambdas: Data Science with Python

In course

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Description

This lecture covers the concepts of scopes, lambdas, and pandas in the context of data science for engineers using Python. Topics include nested declarations, scoping, assignments, functions, lambdas, and pandas manipulation and analysis. The instructor demonstrates the usage of lambdas for sorting, default field values, and the limitations of mutable default values. Additionally, the lecture explores the utilization of pandas for efficient data manipulation and analysis, focusing on Series and DataFrame structures. Practical examples and hands-on exercises are provided to enhance understanding and application of the covered concepts.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_6lnk9h51

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Ontological neighbourhood

Theoretical computer science

Programming language theory: High-level programming languages

Algorithms and data structures: Analysis of algorithms

Mathematics

Analysis: Complex analysis

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