This is scipy.org wiki. The main site is at http://scipy.org/
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 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. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!
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 bug reports).
Python and Scientific Computing
#class right ## Snazzy graphics here... [[ImageLink(NumPyOptimizationSmallsm.png,Cookbook/OptimizationDemo1)]] [:Cookbook/OptimizationDemo1: SciPy optimization on Ubuntu Linux]
NumPy and SciPy are two of many open-source packages for scientific computing that use the Python programming language. This website, together with other 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.
Good places to start to learn more about SciPy:
Index of Python packages for scientific computing
Projects using NumPy / SciPy
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.
SciPy is sponsored by Enthought, Inc.
John Hunter (1968-2012)
#class left [[ImageLink(John-hunter-crop-2.jpg,http://numfocus.org/johnhunter/)]]
We have achingly sad news today. Our friend, colleague, and author of matplotlib, John Hunter, passed away on August 28, 2012 at 10am. He was 44. It was little more than a month ago when John was our keynote speaker at SciPy 2012. He returned home to a diagnosis of cancer followed by a brutally short battle with this terrible illness. Fernando Perez’s fitting tribute to his close friend highlights just how much impact John has had on all of our work and lives.
John is survived by his wife Miriam, his three daughters Rahel, Ava and Clara, his sisters Layne and Mary, and his mother Sarah. If you have benefited from John's many contributions, please say thanks in the way that would matter most to him. Please consider making a donation to the John Hunter Memorial Fund.