NumPy is the fundamental array package underpinning the Scientific Python ecosystem. BIDS hosts a team of four core developers that work with the NumPy community to develop the library in preparation for the next decade of data science.
NumPy contains, among other things, the following:
- 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 development is supported at BIDS through grants from the Moore and the Sloan Foundations.