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==== News ====
 * '''!SciPy 0.9.0 released.''' (2011-02-27) See the [http://sourceforge.net/projects/scipy/files/scipy/0.9.0/ Download] page.
 * The 3rd International Conference on Finite Element Methods in Engineering and Science [http://hpfem.org/events/femtec-2011/ (FEMTEC 2011)] 
 will have a track on Open-source projects and Python in scientific computing. 
 * '''!NumPy 1.5.1 released.''' (2010-11-18) See the [http://sourceforge.net/projects/numpy/ Download] page.
 * '''!NumPy 1.5.0 released.''' (2010-08-31) See the [http://sourceforge.net/projects/numpy/ Download] page.
 * '''!SciPy 0.8.0 released.''' (2010-07-28) See the [http://sourceforge.net/projects/scipy/ Download] page.
 * The [http://www.euroscipy.org EuroScipy] '''conference''' was held July 8-11 2010 in Paris.
 * [http://conference.scipy.org/scipy2010 SciPy 2010], the Python for Scientific Computing Conference, was held June 28 - July 3 in Austin, Texas.
 * The '''European Seminar on Coupled Problems''' ([http://hpfem.org/events/esco-2010 ESCO2010]) will have a track on next generation scientific computing, with a focus on Python.
 * [http://www.archive.org/search.php?query=%22SciPy%202009%22 Videos] and [http://conference.scipy.org/slides slides] from the '''2009 Python in Science Conference''' now available!

==== Older news ====
 * '''!SciPy 0.7.2 released.''' (2010-04-22) See the [http://sourceforge.net/projects/scipy/ Download] page.
 * '''!NumPy 1.4.1 released.''' (2010-04-22) See the [http://sourceforge.net/projects/numpy/ Download] page.
 * '''!NumPy 1.4.0 release pulled.''' (2010-2-8) Due to an unintended ABI break the 1.4.0 release has temporarily been pulled pending a decision on how to handle the ABI incompatibility.
 * '''!NumPy 1.4.0 released.''' (2009-12-27) See the [http://sourceforge.net/projects/numpy/ Download] page.
}}}

||<tablewidth="70%" tablestyle="text-align: center;"style="border-style: none;"> [[ImageLink(scipydownloadlogosmb.png,Download)]] ||<style="border: medium none ;"> [[ImageLink(scipygetstartedsm2b.png,Getting_Started)]] ||<style="border: medium none ;"> [[ImageLink(scipydoclogosm.png,http://docs.scipy.org)]] ||<style="border: medium none ;">  [[ImageLink(scipybuglogosm2e.png,BugReport)]] ||<style="border: medium none ;">  [[ImageLink(feed-icon-100.png,http://planet.scipy.org)]] ||
||<style="border: medium none ;"> '''["Download"]''' ||<style="border: medium none ;"> '''["Getting Started"]''' ||<style="border: medium none ;"> '''[http://docs.scipy.org Documentation]''' ||<style="border: medium none ;"> '''[:BugReport:Report Bugs]''' ||<style="border: medium none ;"> '''[http://planet.scipy.org Read the Blog]''' ||
= Scientific Tools for Python =
!SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular [http://conference.scipy.org conference] on scientific programming with Python. The !SciPy library depends on [http://numpy.scipy.org 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.  If you need to manipulate numbers on a computer and display or publish the results, give !SciPy a try!

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||<style="color: rgb(32, 64, 250); font-style: italic;">SciPy is a community effort.  We seek volunteers at all levels of ability to work on the project, from coding and packaging to documentation, tutorials, recipes, and the web site.  Visit the ["Developer Zone"] if you are interested in helping out (or if you have [:BugReport:bug reports]). ||
## click into the demos (NEED SOME DEMOS, FOLKS!)
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= Python and Scientific Computing =
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[:Cookbook/OptimizationDemo1: SciPy optimization on Ubuntu Linux]
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!NumPy and !SciPy are two of many open-source packages for scientific computing that use the Python programming language. This website, together with other [:SciPyDotOrg:subdomains] of the scipy.org domain, serves as a portal for all scientific computing with Python, not just !NumPy and !SciPy.  The index under ["Topical Software"] in the navigation bar lists these domains and other destinations for scientific software using Python.

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'''Good places to start to learn more about SciPy:'''

 * [:more about SciPy:More about NumPy / SciPy]
 * Index of [:Topical Software:Python packages] for scientific computing
 * ["Projects"] using !NumPy / !SciPy
 * [http://scikits.appspot.com/ scikits add-on toolkits for numpy/scipy]
 * ["Download"] !NumPy / !SciPy
 * [:Installing SciPy:Install SciPy]
 * ["Documentation"]
 * ["Cookbook"]
 * [:FAQ:Frequently Asked Questions]
This is a community effort.  We seek volunteers at all levels of ability to work on the project, from coding and packaging to documentation, tutorials, recipes, and the web site.  Visit the ["Developer Zone"] if you are interested in helping out.

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!SciPy is sponsored by [:EnthoughtInc:Enthought, Inc.]