Navp788 / numpy_tutorial_complete

A complete tutorial of numpy

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

numpy_tutorial_complete

Introduction 1.install numpy using pip 2.Creating a Vector 3.Reshape Arrays 4.calculate Deteminant 5.creating a matrix 6.Rank of matrix 7.transposing a vector or matrix 8.creating spare matrix 9.SELECTING ELEMENTS 10.Describing a matrix 11.Applying operation to elements 12.finding min and max values 13.calculate the average ,varience and standard diversion 14.Generating random values 15.inverting a matrix 16.multiply matrices 17.addition of matrices 18.subtraction of matrices 19.calculate Dot product 20.Eigenvalues and Eigenvectors 21.calculating the trace of matrix

About

A complete tutorial of numpy

License:Creative Commons Zero v1.0 Universal


Languages

Language:Jupyter Notebook 69.2%Language:Python 30.8%