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==== News ====
 * '''!EuroSciPy 2012.''' (2012-03-23) [http://www.euroscipy.org/conference/euroscipy2012 EuroSciPy] is the European gathering for scientists using Python. The 2012 edition takes place in Brussels, Aug. 23-27.
 * '''!SciPy 0.10.1 released.''' (2012-02-28) See the [http://sourceforge.net/projects/scipy/files/scipy/0.10.1/ Download] page.
 * '''!PyCon 2012.''' [https://us.pycon.org/2012/ PyCon] is the largest annual gathering for the community using and developing the open-source Python programming language.  This year the conference runs March 7 - 15 in Santa Clara, California.
 * '''!SciPy 0.10.0 released.''' (2011-11-13) See the [http://sourceforge.net/projects/scipy/files/scipy/0.10.0/ Download] page.
==== Older news ====
 * '''!SuperComputing 2011.''' [http://sc11.supercomputing.org/ SuperComputing], the largest conference focused on high-performance computing, was in Seattle this year, November 12-18.  A Python-focused workshop, PyHPC, was held. See http://www.dlr.de/sc/desktopdefault.aspx/tabid-1183/1638_read-31733/ for details.
 * '''!PyCon DE 2011.''' The German Python Conference [http://de.pycon.org/2011/home PyCon DE 2011] took place October 4-9.
 * '''!EuroSciPy 2011.''' The fourth European meeting on Python in science, [http://www.euroscipy.org/conference/euroscipy2011 EuroSciPy 2011], took place August 25-28 in Paris. 
 * '''!NumPy 1.6.1 released.''' (2011-07-20) See the [http://sourceforge.net/projects/numpy/files/NumPy/1.6.1/ Download] page.
 * '''SciPy 2011''' [http://conference.scipy.org/scipy2011/ SciPy 2011], the 10th Python in Science conference, was held July 11 - 16, 2011, in Austin, TX.
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||<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]
 * [http://scipy-central.org/ SciPy Central] & ["Cookbook"]
 * Index of [:Topical Software:Python packages] for scientific computing
 * [http://scikits.appspot.com/ scikits add-on toolkits for numpy/scipy]
 * ["Projects"] using !NumPy / !SciPy
 * ["Documentation"]
 * [: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.]