This document explains how to create, index, slice, and perform operations on 2D Numpy arrays, including matrix addition, scalar multiplication, Hadamard product, and matrix multiplication.
This document introduces Numpy for scientific computing, covering array creation, indexing, slicing, vector operations, universal functions, and plotting. Key concepts include speed, memory efficiency, and practical data science applications.
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