NumPy

https://numpy.org/

Why

**NumPy**? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant.**NumPy**. The fundamental package for scientific computing with Python.
GitHub - numpy/numpy: The fundamental package for scientific...

https://github.com/numpy/numpy

python -c 'import

**numpy**;**numpy**.test()'. Call for Contributions. The**NumPy**project welcomes your expertise and enthusiasm! Small improvements or fixes are always appreciated; issues labeled as...
NumPy - Wikipedia

https://en.wikipedia.org/wiki/NumPy

**NumPy**is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

Introduction to NumPy

https://www.w3schools.com/python/numpy_intro.asp

**NumPy**is a Python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices.

**NumPy**was created in 2005 by Travis Oliphant.

NumPy is the fundamental package for array computing with Python.

https://pypi.org/project/numpy/

Besides its obvious scientific uses,

**NumPy**can also be used as an efficient Arbitrary data-types can be defined. This allows**NumPy**to seamlessly and speedily integrate with a wide variety of databases.
NumPy Tutorial - Tutorialspoint

https://www.tutorialspoint.com/numpy/index.htm

**NumPy**Tutorial -

**NumPy**, which stands for Numerical Python, is a library consisting of multidimensional array objects and a collection of routines for processing those arrays.

Python Numpy Tutorial (with Jupyter and Colab)

https://cs231n.github.io/python-numpy-tutorial/

Classes.

**Numpy**. Arrays. Array indexing.**Numpy**is the core library for scientific computing in Python. It provides a high-performance multidimensional array object, and tools for working with these arrays.
Numpy, Matplotlib & Scipy Tutorial: Introduction into NumPy

https://www.python-course.eu/numpy.php

**NumPy**tutorial:

**NumPy**is used for scientific computing with Python. This is an introduction for beginners with examples.

Newest 'numpy' Questions - Stack Overflow

https://stackoverflow.com/questions/tagged/numpy

**NumPy**is an extension of the Python language that adds support to large multidimensional arrays and matrixes, along with a large library of high-level mathematical functions for operations with these arrays.

A beginner's guide to NumPy with Sigmoid, ReLu and... | Medium

https://medium.com/ai%C2%B3-theory-practice-business/a-beginners-guide-to-numpy-with-sigmoid-relu-and-softmax-activation-functions-25b840a9a272

**NumPy**is the main package for scientific computations in python and has been a major backbone of

**NumPy**was built from 2 earlier libraries: Numeric and Numarray. [1] Most deep learning algorithms...

1.4.1. The NumPy array object — Scipy lecture notes

https://scipy-lectures.org/intro/numpy/array_object.html

**NumPy**provides: extension package to Python for multi-dimensional arrays. closer to hardware (efficiency). designed for scientific computation (convenience). Also known as array oriented computing.