NumPy
NumPy is a fundamental package for scientific array computing with Python, supporting multi-dimensional arrays, matrices, with a collection of high-level mathematical functions to operate on these arrays
Features
NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
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. - Official website
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System Requirements
Developer
Travis Oliphant(OD), Other contributors
Written in
Python, C
Initial Release
14 March 2006
Repository
License
BSD-3
Categories
Alternatives
Scientific Computing
SciPy (library)
Array Computing
No alternative software available under 'Array Computing' category.
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