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	SciPy - Wikipedia, the free encyclopedia
		SciPy is targeted towards similar applications as MATLAB and Scilab.
		SciPy is currently distributed under the BSD license and its development is sponsored by Enthought.
		The SciPy project was slowly moving from the original NumPy Numeric array type to the newer Numarray implementation.
	en.wikipedia.org /wiki/SciPy (302 words)

	Debian -- python-scipy
		SciPy is an open source library of scientific tools for Python.
		SciPy supplements the popular Numeric module, gathering a variety of high level science and engineering modules together as a single package.
		SciPy includes modules for graphics and plotting, optimization, integration, special functions, signal and image processing, genetic algorithms, ODE solvers, and others.
	packages.debian.org /unstable/python/python-scipy (132 words)

	NumericAndScientific - PythonInfo Wiki
		SciPy supplements the popular NumPy module, gathering a variety of high level science and engineering modules together as a single package.
		SciPy includes modules for linear algebra, optimization, integration, special functions, signal and image processing, statistics, genetic algorithms, ODE solvers, and others.
		Building on SciPy classes, the package also supports symbolic expression processing, bifurcation analysis, and enhanced arrays for "index-free" and highly contextualized scientific data manipulation.
	wiki.python.org /moin/NumericAndScientific (524 words)

	SciPy - SciPy.org
		SciPy is built on a core called NumPy which provides fast N-dimensional array manipulation.
		SciPy is easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers.
		SciPy is one of many open-source packages for scientific computing that use the Python programming language.
	www.scipy.org (281 words)

	[Python-Dev] ANN: Job Openings at Enthought
		SciPy ----- There has been a lot of work on SciPy lately by the Travis Oliphant, Travis Vaught, Pearu Peterson, Joe Cooper, and on the website by Jon-Eric Steinbomer and Janet Swisher.
		When SciPy 0.1 was released a couple a years ago, I think we averaged about 10.
		Other Stuff ----------- In addition to SciPy we have multiple projects going on right now that either already plug into or will be plugins to a Python-based scientific application framework called Envisage (sorta like an IDE for science apps) that we're working on.
	mail.python.org /pipermail/python-dev/2004-May/044852.html (1115 words)

	IEEE - IWCE 10 (Site not responding. Last check: 2007-10-06)
		The 3rd section covers the SciPy library (www.scipy.org) that provides modules for linear algebra, signal processing, optimization, statistics, genetic algorithms, interpolation, ODE solvers, special functions, etc. We also cover scientific plotting with python.
		Enthought leads the development of SciPy (www.scipy.org), a large open source library of numerical algorithms for Python.
		SciPy grew out of a collaboration with Eric Jones and Pearu Peterson to collect the disparate tools they had all been working on into one package.
	www.iwce.nanohub.org /python.htm (649 words)

	Python for scientific use, Part II: Data analysis LG #115
		Scipy package has the Levenberg-Marquandt algorithm included as the function
		The first is basic SciPy functionality, the second is the Levenberg-Marquandt algorithm, the third is ASCII data file import, and finally the fourth is the gnuplot interface.
		This is the plotting of the data and the model calculations (by evaluating the function defining the fitting model with the final parameters as input).
	linuxgazette.net /115/andreasen.html (2563 words)

	Installing SciPy - SciPy.org
		SciPy is nearing completion of a major overhaul.
		Both NumPy and the reworked full SciPy are still in 'beta' release status, but we encourage you to download NumPy and full SciPy.
		The first official release of full SciPy will be versioned 0.4.X and is due in Spring 2006.
	new.scipy.org /Wiki/Installing_SciPy (157 words)

	Topical Software - SciPy.org
		SciPy: umbrella project which includes a variety of high level science and engineering modules together as a single package.
		SciPy includes modules for linear algebra (including wrappers to BLAS and LAPACK), optimization, integration, special functions, FFTs, signal and image processing, genetic algorithms, ODE solvers, and others.
		NumPy is the package SciPy builds on and requires as a pre-requisite.
	www.scipy.org /Topical_Software (4628 words)

	October 2002 Main
		The unifying theme of the two day workshop/conference was "SciPy", an open source Python library that includes modules for signal processing, integration, special functions, and of course graphics and plotting.
		SciPy and Numeric make it easy to do many of the things that the scientific community wants to do.
		To many attendees, SciPy with Numeric is seen as an open source alternative to Matlab.
	www.accu-usa.org /2002-10-Main.html (1803 words)

	SciPy Course Outline
		SciPy is both (1) a way to handle large arrays of numerical data in Python and (2) a way to apply scientific, statistical, and mathematical operations to those arrays of data.
		The new SciPy is composed of two projects: (1) numpy and (2) scipy.
		The array protocol is the way in which, for example, a scipy user uses arrays.
	www.rexx.com /~dkuhlman/scipy_course_01.html (5584 words)

	Diary for salmoni
		SalStat uses html as it's such a wide-spread (and open!) standard, but the users of SciPy may want something different: possibly even just plain text which would be the simplest to implement.
		The audience for SciPy is scientists and the task is complex numerical analysis.
		The chaps working on SciPy seem to be interested in developing a GUI for it like a lot of maths/statistics packages have.
	www.advogato.org /person/salmoni/diary.html?start=179 (4013 words)

	ANN: SciPy 0.10 -- Scientific Computing with Python \| Python \| Python
		SciPy is an open source package that builds on the
		SciPy relies on Python 2.1 and Numeric 20.1 (which is included
		I have problems with SciPy trying to run the example in SciPy FAQ.
	www.gossamer-threads.com /lists/python/python/60838 (398 words)

	scipy-dev archive @ ASPN
		But librandomkit.pyd also appears clean of Python symbols, according to my 30-day trial DLL explorer; the only dependencies are: advapi32.dll kernel32.dll msvcr71.dll msvcrt.dll So it seems the GNU linker does the right thing in the MinGW case too, not linking in Python symbols unless they're explicitly dereferenced.
		If that does not work, the next step is to copy necessary hooks for shared libraries from build_ext.py to build_clib.py or create a new command build_slib (or something like that) altogether.
		For example, when scipy would ship > blas/lapack source codes then it would be desirable to install blas/lapack > libraries so that various scipy subpackages could use them.
	listserv.activestate.com /rss/scipy-dev-rss0.91.xml (2090 words)

	Enthought, Inc. - Open Source Software
		Many of our developed applications are built upon the foundation of tools provided in the open source Enthought Tool Suite.
		SciPy is an open source library of scientific tools for Python sponsored by Enthought.
		SciPy is developed concurrently on both Linux and Windows.
	www.enthought.com /open/open.htm (224 words)

	symeig
		The symeig module contains a Python wrapper for the LAPACK functions to solve the standard and generalized eigenvalue problems for symmetric (hermitian) positive definite matrices.
		symeig is in the process of being added to the official SciPy distribution.
		Until then we distribute it here since we have received some feedback from users that were interested in using it in the meanwhile.
	mdp-toolkit.sourceforge.net /symeig.html (497 words)

	LWN: SciPy 2004 Conference Announced
		Greetings, The 1st annual SciPy Conference will be held this year at Caltech, September 2-3, 2004.
		As some of you may know, we've experienced great participation in two SciPy "Workshops" (with ~70 attendees in both 2002 and 2003) and this year we're graduating to a "conference." With the prestige of a conference comes the responsibility of a keynote address.
		This year, Jim Hugunin has answered the call and will be speaking to kickoff the meeting on Thursday September 2nd.
	lwn.net /Articles/84329 (311 words)

	Statistical Computing With Python
		A recent project, SciPy is a unified collection of open source libraries adding scientific computing capability to Python.
		Within SciPy are modules for graphics and plotting, optimization, integration, special functions, signal and image processing, genetic algorithms, ODE solvers, and others.
		There is also an experimental "compiler" that takes a Numeric array expression in Python and compiles it to C++ code on the fly.
	www.astro.cornell.edu /staff/loredo/statpy (1616 words)

	Packaging Scipy (Site not responding. Last check: 2007-10-06)
		So, the issue of distributing Scipy and F2py have been brought up in Scipy and F2py mailing lists many times and the purpose of this document is to provide instructions for the packagers how to overcome this issue.
		Instead of using tar-balls from web, currently it is highly recommended getting scipy and other software from their CVS repository.
		Usually CVS versions are more stable than tar-balls (sometimes not but any issues will be quickly fixed), also core developers do not test tar-balls very frequently and occasionally some important files may be missing.
	cens.ioc.ee /~pearu/scipy/PACKAGERS.html (251 words)

	interpolate.html (Site not responding. Last check: 2007-10-06)
		The program has been modified to use Gnuplot for plotting and to allow the grid size for the sparsely sampled function to be specified on the command line.
		If the goal were to pick a grid by hand to produce a nice graph, it wouldn't be an issue, but I need to be able to fit a surface to a set of points in an automated manner without requiring a human to adjust the grid sizes to get reasonable surface fit.
		If you have any hints feel free to e-mail me at grante@visi.com or respond to the thread on the scipy mailing list or in comp.graphics.visualization.
	www.visi.com /~grante/scipy/interpolate.html (351 words)

	baoilleach: R or SciPy for Cheminformatics? (Site not responding. Last check: 2007-10-06)
		Python, through the SciPy numerical extension, offers an alternative to using R in cheminformatics.
		In addition, the data is either read in as a list or a single vector, and requires a transformation to a data frame before it is of use.
		R uses singular value decomposition (svd) to do the PCA, whereas I found the eigenvalues of the covariance matrix using SciPy.
	www.redbrick.dcu.ie /~noel/RversusPython.html (179 words)

	Building Scipy on Windows
		At minimum, Python, Numeric, F2PY, Atlas (or BLAS), and LAPACK is required to build Scipy.
		Then Scipy setup.py script (scipy_distutils/system_info.py to be specific) will pickup the sources and compiles them.
		However, building Scipy can be a very long running task and to be sure that it will be successful, it is recommended to install Scipy_core first and check that it is working properly.
	cens.ioc.ee /~pearu/scipy/BUILD_WIN32.html (1469 words)

	gmane.comp.python.scientific.user (Site not responding. Last check: 2007-10-06)
		I'd like it to be able to work with the Enthought python distribution on Windows, that already includes 90% of the external libraries (scipy, numarray, wxpython etc.) I need, so people don't have to install a bazillion dependencies one by one to get it working -just a few must be downloaded in addition.
		After patching numpy/distutils/fcompilers/intel.py as explained in the thread "F2PY stopped working with new scipy", I was able to compile the wrappers, but they don't quite work right.I think the easiest way to explain it is by example.
		Looking at the scipy website, the matrix type looks the closest to matlab syntax, but I still have some issues: - under matlab, everything, including scalar, are matrices in matlab sense.
	blog.gmane.org /gmane.comp.python.scientific.user (1708 words)

	gmane.comp.python.announce (Site not responding. Last check: 2007-10-06)
		Greetings, The SciPy 2006 Conference is scheduled for August 17-18, 2006 at CalTech.
		A tremendous amount of work has gone into SciPy and Numpy over the past few months, and the scientific python community around these and other tools has truly flourished[1].
		The Scipy 2006 Conference is an excellent opportunity to exchange ideas, learn techniques, contribute code and affect the direction of scientific computing with Python.
	comments.gmane.org /gmane.comp.python.announce/6112 (164 words)

	SciPy Course Outline
		You can use PyTables with SciPy, but currently a conversion is needed.
		If you are using a recent version of SciPy and numarray, then you will be able to do this conversion without copying, using the array protocol.
		If you insist on using older versions, a simple method is to convert a SciPy array to a Python list.
	www.rexx.com /~dkuhlman/scipy_course_01.html#scipy-core (5584 words)

	gmane.comp.python.announce (Site not responding. Last check: 2007-10-06)
		SciPy Core (replacement for Numeric Python) first beta release
		Numeric was originally written nearly 10 years ago, and while still performing admirably, needed much updating to take advantage of the new features in Python and to remove old warts.
		SciPy Core 0.4.1 (beta) SciPy Core is a new system which builds on the code-base of Numeric, but implements features (such as advanced index-selection, and user-settable error modes).
	comments.gmane.org /gmane.comp.python.announce/5589 (182 words)

	TikiWiki
		This is a tutorial on how to compile and install SciPy on a 32-bit Linux platform using the GCC compiler suite.
		While that may seem a bit restrictive, these same basic instructions should work on most UNIX platforms with a bit of tweaking here and there, with most of the tweaking needed in the area of compiler arguments, especially if the GCC compilers aren't used.
		The latest (as of Jan. 2006) version of SciPy builds on and is a successor to the Numarray project, which was itself a sort of successor to the Numeric Python project.
	pong.tamu.edu /tiki/tiki-view_blog_post.php?blogId=6&postId=97 (2105 words)

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