First step towards Python's Numpy Library

What you'll learn
Python Numpy Library from Scratch
Numpy Arrays - 1D, 2D, 3D, Zeros, Ones, Full Arrays etc
Numpy Functions - Random, Linspace, Empty, Eye, Identity, Transpose, Diagonal Function etc
Indexing in Numpy Arrays
You can download each lecture and source codes files

Requirements
Basic Python Programming knowlwdge, that you already have
You can use any one of these - Jupyter Notebook or PyCharm or Google Colab etc.

Description


rows into columns and columns into rows.40. Unary Operators - Those operators that require only one operand. Suppose 'a' is an array :a.max() , a.max(axis=1), a.max(axis=0) , a.sum()a.min() , a.min(axis=1) , a.min(axis=0) , np.sum(a, axis=1) These functions can be applied row-wise or column-wise by setting an axis parameter.41. stack - c =