Advanced Operations on Arrays with NumPy
Array copy vs view, the matrix library and linear algebra for complex calculations with NumPy.
Running scenario: A fictional company called Globomantics wants to build financial portfolios, compute risk/return metrics, and apply optimization techniques — all in NumPy.
Prerequisites: Python basics (lists, numpy.array), basic memory management concepts.
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What's inside
7 sections- 1 Table of Contents
- 2 Course Overview
- 3 Exploring Array Copy and View in NumPy
- 4 Working with Matrices Using the NumPy Matrix Library
- 5 Performing Complex Calculations Using NumPy Linear Algebra
- 6 Conceptual Diagrams
- 7 Summary and Resources
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