Scientific Computing Tools For Python

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NumPy is the fundamental package needed 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 is licensed under the BSD license, enabling reuse with few restrictions.

Getting Started

• Getting Numpy
• Installing NumPy and SciPy
• NumPy and SciPy documentation page
• NumPy Tutorial
• NumPy for MATLAB© Users
• NumPy functions by category
• NumPy Mailing List

More Information

• NumPy Sourceforge Home Page
• SciPy Home Page
• Interfacing with compiled code
• Older python array packages