Difference between revisions of "NumPy"
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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. | 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. | ||
| + | |Homepage URL=http://numpy.scipy.org/ | ||
|User level=intermediate | |User level=intermediate | ||
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|Computer languages=Python | |Computer languages=Python | ||
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|Related projects=Thousand_Parsec_Client,SciPy | |Related projects=Thousand_Parsec_Client,SciPy | ||
|Keywords=Python,dimensional,Fourier,Numerical Python,n-dim fourier transforms,numpy,numerical,Fortran | |Keywords=Python,dimensional,Fourier,Numerical Python,n-dim fourier transforms,numpy,numerical,Fortran | ||
| − | | | + | |Version identifier=0.18.1 |
| − | |Last review by= | + | |Version date=2016/09/19 |
| − | |Last review date= | + | |Version status=stable |
| + | |Version download=https://github.com/scipy/scipy/archive/v0.18.1.tar.gz | ||
| + | |Last review by=Alejandroindependiente | ||
| + | |Last review date=2017/02/25 | ||
|Submitted by=Database conversion | |Submitted by=Database conversion | ||
|Submitted date=2011-04-01 | |Submitted date=2011-04-01 | ||
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| − | | | + | |Is GNU=No |
| − | | | + | |License verified date=2008-07-09 |
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| + | |License=BSD_3Clause | ||
| + | |License verified by=Deborah Nicholson | ||
|License verified date=2008-07-09 | |License verified date=2008-07-09 | ||
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|Role=Maintainer | |Role=Maintainer | ||
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|Science=engineering | |Science=engineering | ||
|Software-development=programming-language | |Software-development=programming-language | ||
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Latest revision as of 10:50, 25 February 2017
NumPy
http://numpy.scipy.org/
numerical python package
The fundamental package needed for scientific computing with Python is called NumPy. This 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.
Licensing
License
Verified by
Verified on
Notes
Leaders and contributors
| Contact(s) | Role |
|---|---|
| SciPy.org | Maintainer |
Resources and communication
Software prerequisites
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.