NumPy Free and open source array facility for scientific computing with Python
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integration data container integrator code integrator database integration container

NumPy Description

Free and open source array facility for scientific computing with Python NumPy adds a fast and sophisticated array facility to the Python language and is the fundamental package needed for scientific computing with Python.The NumPy package contains:· a powerful N-dimensional array object· sophisticated (broadcasting) functions· basic linear algebra functions· basic Fourier transforms· sophisticated random number capabilities· tools for integrating Fortran code.· tools for integrating C/C++ code.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 derives from the old Numeric code base and can be used as a replacement for Numeric. It also adds the features introduced by Numarray and can also be used to replace Numarray. Numeric users should find the transition relatively easy (although not without some effort). There is a module (numpy.oldnumeric.alter_code1) that can make most of the necessary changes to your Python code that used Numeric to work with NumPy's Numeric compatibility module.Users of numarray can also transition their code using the numpy.numarray compatibility layer and a similar module (numpy.numarray.alter_code1).NOTE: NumPy is licensed and distributed under the terms of an OSI-Approved Open Source License. Requirements: · Python 2.5 or later What's New in This Release: · This minor includes numerous bug fixes, official python 2.6 support, and several new features such as generalized ufuncs.

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