## Python NumPy Library

In this tutorial, we will learn Python NumPy Library. NumPy is a library built for numerical computations on multidimensional arrays of numbers. NumPy is a combination of two words, which stands for Numerical Python.

**NumPy** = **Num**erical + **Py**thon

## Python NumPy Library

NumPy is a powerful numerical computing library in Python. It supports large, multi-dimensional arrays and matrices and a collection of mathematical functions to operate on these elements.

The fundamental data structure in NumPy is the **numpy.ndarray** (n-dimensional array). We can create arrays using the function **numpy.array()**

## How to use it?

We must first import the module into the program to use the Python NumPy library. We can also create an alias (a short name) for the module to use in the program. For instance, the following import statement uses the short name *“np”*.

*/> import numpy as np*

NumPy is an important and widely used library for numerical and scientific computing in Python, forming the foundation for many other DS(Data Science), ML(Machine Learning), and Scientific computing.

In the next section, we will learn how to declare arrays using the NumPy module with some examples.

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## Python Tutorials

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https://www.testingdocs.com/python-tutorials/

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