Lecture

Numpy: Memory Comparison & Performance

Description

This lecture introduces Numpy and compares the memory usage between Python lists and Numpy ndArrays. It explains the memory representation of Python lists and Numpy Arrays, highlighting the advantages of Numpy in terms of fixed data type, fixed size, and contiguous storage. The lecture also covers the performance difference between Python lists and Numpy Arrays when performing element-wise operations, showcasing Numpy's significant speed improvement.

Official source

https://mediaspace.epfl.ch/media/0_yei0fnvu

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Ontological neighbourhood

Psychology

Basic psychology: Cognitive psychology

Theoretical computer science

Programming language theory: High-level programming languages

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