numpy-practice

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100 numpy exercise to brush up the skills with numpy library and to get familier with

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# numpy-practice
 100 numpy exercise to brush up the skills with numpy library and to get familier with

These numpy examples are collected from stack overflow and various online resources from web. The motivation of collection of     various set of exercices for one's having their keen interest in machine learning

If you find an error or think you've a better way to solve some of them, feel free to open an issue at  https://github.com/arshahuja/numpy-practice

## About The Files
this repository contains files with extension : .md & .ipynb

## About numpy
NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation and much more.

#### for numpy Documentation visit : https://docs.scipy.org/doc/numpy-dev/index.html

thankyou 
All The Best!!

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