NumPy stands for “Numerical Python. NumPy is a open source Python library.

NumPy is used for working with arrays.

NumPy was created in 2005 by Travis Oliphant. NumPy is written partially in Python, but most of the parts that require fast computation are written in C or C++.

NumPy has functions for working in domain of linear algebra, fourier transform, and matrices.

The source code for NumPy is located at the following github repository- https://github.com/numpy/numpy

Why to Use NumPy?

In Python lists are available to serve the purpose of arrays, but they are slow to process.

NumPy is developed to provide an array object to Python that is 50 times faster in processing than the Python lists.

The array object in NumPy is called ndarray.

Why is Python NumPy Faster Than Lists?

NumPy arrays are stored at one continuous place in memory unlike lists, so processes can access and manipulate them very efficiently.