NumPy is a scientific and numerical computing extension to the Python programming language.
About NumPy
From the NumPy homepage:
NumPy is the fundamental package for scientific computing with python. It contains among other things:
- a powerful N-dimensional array object
- sophisticated (broadcasting) functions
- tools for integrating C/C++ and Fortran code
- useful linear algebra, Fourier transform, and random number capabilities
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.
NumPy provides reliable and efficient methods of data storage, manipulation, and analysis as it also integrates easily with other methods of data manipulation, notably Pandas and scikit-learn.
NumPy is released under the BSD license, enabling reuse with few restrictions.
Resources
Official Resources
- NumPy Official Documentation
- NumPy Tutorial
- NumPy Mailing List
- Contributing to NumPy
- NumPy GitHub repository
