Python Complement: Numpy, Scipy, Matplotlib

In course

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Description

This lecture covers advanced Python topics such as default parameters of functions, lambda functions, numpy operations like creating arrays, slicing, component-based algebra, and scipy linear algebra routines. It also delves into scipy optimization techniques and matplotlib for creating figures and axes.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_4o3cd3tm

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Ontological neighbourhood

Mathematics

Analysis: Numerical analysis

Number theory: Topics in number theory

Theoretical computer science

Programming language theory: High-level programming languages

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