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
this repository contains files with extension : .md & .ipynb
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
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