OhadCohen97 / Numpy-library-tutorial

NumPy is a Python library used for working with arrays.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Numpy-library-tutorial

Hello everyone, I've been working with Numpy for a long time, one of my favorite libraries in Python and I decided to share with you a brief explanation and also upload to GitHub on Jupyter some code snippets that show a little more in-depth the power of Numpy.

So for those unfamiliar with the library, what is 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.

Numpy is very common to use in Data Science, Machine Learning and Deep Learning.

About

NumPy is a Python library used for working with arrays.


Languages

Language:Jupyter Notebook 100.0%