['numeric'] is in these articles:
Mathematical and scientific processing with Python (statistics, numerical analysis, optimization, wavelets...), here.
Numerical and combinatorial problems solved using Genetic
Algorithms in Python.
SciPy_core, is now in
beta, this is destined to replace the old numeric Python package for doing
numerical analysis with Python. SciPy can now be found at www.scipy.org. SciPy includes modules
for graphics and plotting, optimization, integration, special
functions, signal and image processing, genetic algorithms, ODE solvers
free spreadsheet for UNIX and Windows
Mathematica version 6
was released in May'07, this is a remarkable piece of software for
those who are doing mathematical or numerical research. Discussed here
on Slashdot. The Wolfram
Demonstrations project is and interesting place to look for
examples of its use.
If you can't afford your own numerically controlled
fabrication lab, apparently
there are labs that will do this for you. Look at eMachineShop and pad2pad for custom circuit boards.
Slashdot discusses numerically
approximating the wave equation.
- Numerical Simulation of Pipeline
- OpenOpt is a numerical optimization framework. The project home page is here and more recently here. Some additional modules, FuncDesigner and DerApproximator have been added to assist.  
sounds like a nice, fast, Linux install (I got good download speeds
The documentation is available at knoppix.net.
There are even specialized
versions of Knoppix for particular applications such as bioknoppix and clusterknoppix. And KnoppMyth for MythTV. And Quantian which
focuses on numerical analysis tools. And KnoppiXMAME for
arcade game emulation. June 2004 and another
Knoppix release is due soon. March 2005 and Knoppix 3.8 is almost
ready to appear. Looks like Knoppix 3.8 has
been released and could even run within Windows.
- A class for propagating uncertainties in numeric quantities through a series of calculations. 
- A discussion of the numerical representation of pitch.  
- GNU's Octave version 3.0 has been released. Octave is a numerical computing environment that seeks to be MATLAB compatible.  
- The Numerical Recipes web
site, this has
the full text of the second edition of Numerical Recipes in C
on line and you can purchase the code here too
The Netlib Repository of
numerical analysis software.
Numerical Recipes in C++, byt Bernt Arne Odegaard. Bits of this
have been implemented in Python in the pyFinancials package, announced here.
- PyIMSL provides wrappers for the IMSL C Numerical Library.  
- Numdifftools is a package for automatic numerical differentiation.  
- Using IronPython for numerical computing. 
- You can enter non-ASCII characters by holding down the ALT key and typing a 3 or 4 digit code on the numeric keypad. This article lists the codes for a variety of accented characters (which are typically in the 129 to 151 range). 
- PyIMSL is a Python wrapper for the IMSL C Numerical Library for Math and Statistics.  
- An implementation of the Talbot method for numerical inversion of the Laplace Transform. A second version of this using mpmath for extended precision.   
- Pricing Asian options in Python and a second version with automatic numeric precision control. 
['numeric'] is in these pages: