SciPy

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(Created page with "__TOC__ * Web site: link * Described version: xx.xx * Licensing: e.g. LGPL 3, BSD... * User documentation: link * Download: link * Source code: link == Authors/Maintainers == *...")
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__TOC__
__TOC__
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* Web site: link
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* Web site: http://www.scipy.org/
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* Described version: xx.xx
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* Described version: 0.90
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* Licensing: e.g. LGPL 3, BSD...
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* Licensing: e.g. GPL
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* User documentation: link
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* User documentation: http://www.scipy.org/
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* Download: link
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* Download: http://www.scipy.org/
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* Source code: link
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* Source code: http://www.scipy.org/
== Authors/Maintainers ==
== Authors/Maintainers ==
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* Also origin, if the software comes from a specific project.
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* SciPy Project: http://www.scipy.org/
== Summary ==
== Summary ==
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One paragraph description of purpose, targer area, approach.
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SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.
== Features ==
== Features ==
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* Listed features
 
== Architectural/Functional Overview ==
== Architectural/Functional Overview ==
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* high level design info, how it works, performance  - may be a link, or several links
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== Usage Overview ==
== Usage Overview ==
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* If possible with small example - may be a link
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http://www.scipy.org/Getting_Started
== Dependacies ==
== Dependacies ==
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* list of all relevant dependencies on other libraries
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n/a
== HP-SEE Applications ==
== HP-SEE Applications ==
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* Applications using it
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[[CMSLTM]]
== Resource Centers ==
== Resource Centers ==
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* RCs supporting it (with version number if not the same as above)
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== Usage by Other Projects and Communities ==
== Usage by Other Projects and Communities ==
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* If any
 
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== Recommendations for Configuration and Usage ==
 
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Please describe here any common settings, configurations or conventions that would make the usage of this resource (library or tool) more interoperable or scalable across the HP-SEE resources. These recommendations should include anything that is related to the resource and is agreed upon by administrators and users, or across sites and applications. These recommendations should emerge from questions or discussions opened by site administrators or application developers, at any stage, including installation, development, usage, or adaptation for another HPC centre.
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== Recommendations for Configuration and Usage ==
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Provided descriptions should describe general or site specific aspects of resource installation, configuration and usage, or describe the guidelines or convention for deploying or using the resource within the local (user/site) or temporary environment (job). Examples are:
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* Common configuration settings of execution environment
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* Filesystem path or local access string
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* Environment variables to be set or used by applications
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* Options (e.g. additional modules) that are needed or required by applications and should be present
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* Minimum quantitative values (e.g. quotas) offered by the site
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* Location and format of some configuration or usage hint instructing applications on proper use of the resource or site specific policy
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* Key installation or configuration settings that should be set to a common value, or locally tweaked by local site admins
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* Conventions for application or job bound installation and usage of the resource
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Revision as of 09:46, 23 June 2011

Contents


Authors/Maintainers

Summary

SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.

Features

Architectural/Functional Overview

Usage Overview

http://www.scipy.org/Getting_Started

Dependacies

n/a

HP-SEE Applications

CMSLTM

Resource Centers

Usage by Other Projects and Communities

Recommendations for Configuration and Usage

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