NumPy is the fundamental package for scientific computing with Python. With NumPy, you get:
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
Tidelift has partnered with NumFOCUS to support important projects in the Python data science and scientific computing ecosystem, like NumPy. We've partnered with the maintainer of NumPy to offer maintenance, code improvement, security updates, and more. You can learn more about the partnership with NumFOCUS here.
You can learn more on the NumPy website.