The NumPy library in Python is a general purpose array processing package. It provides a high performance multi dimensional array object and tools for working with these arrays. It is a fundamental package for scientific computing with Python. It contains various features including important ones, such as a powerful and dimensional array object, sophisticated functions, such as future values, present values, net present values, and many more tools for integrating C and C++ code into Python. Useful linear algebra for your transform at random number of capabilities. Besides its obvious scientific uses NumPy can also be used as an efficient multi dimensional container of generate data. Arbitrary data types can be defined using NumPy, which allows NumPy to seamlessly and speedily integrate a wide variety of databases. In order to instal the NumPy package, we can either do it in two ways. The first one, we can download an IDE such as a PyCharm and instal the numpy package from within the PyCharm IDE by going into settings and project interpreter. The other technique is to instal the package directly from the command prompt. To do this, we need Python installed in the path and once this is done, we go to the command prompt, and we say PIP instal NumPy that's it, you have the NumPy package. Once the numpy package is installed, you've got to import the numpy module in the IDE using import NumPy as NP after this, you can use all the facilities available in the NumPy package.