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A complete tutorial of numpy

License: Creative Commons Zero v1.0 Universal

Jupyter Notebook 69.22% Python 30.78%
python3 numpy tutorial-sourcecode tutorial-exercises numpy-exercises jypyter notebook-jupyter notebook python-3 numpy-arrays

numpy_tutorial_complete's Introduction

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

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