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A module for Python which provides interface to the PARI/GP computing library. We propose to write programs for PARI using Python scripting language. Python makes code much more clean, readable and manageable than the old-style PARI scripts.
Mind this project is no longer maintained. You might be interested in having a look at
http://pythonhosted.org/plasduino/
instead.
Framework for data acquisition through the parallel port, suitable for performing simple didactic physics experiment.
Moved to GitHub in 2013. This SourceForge project is no longer updated.
Sourcecode and documentation:
stokes: https://github.com/kichiki/stokes
libstokes: https://github.com/kichiki/libstokes
libiter: https://github.com/kichiki/libiter
twobody: https://github.com/kichiki/twobody
RYUON User's Manual: https://github.com/kichiki/RYUON-manual
RYUON : many-particle simulation suite
The Basil project's mission is to build a parsing and modeling environment where one is able to work with, code in, integrate, and design a wide variety of computer languages.
Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.
Pysolar is a Python library for calculating the position of the sun relative to the earth as a function of latitude, longitude, and time. There is also code included for other problems related to the development of photovoltaic systems. Still in alpha.
Poor Man's HPC is a framework that allows distributing and running code on a server farm. pmHPC is a scaled down and simplified version of distributed computing projects such as SETI, so is a perfect fit for enthusiasts and universities.
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BrennerMD is a public domain Fortran molecular dynamics program by Donald Brenner and other people. This project is to maintain the original sourcecode and to build a Python interface on top of it.
Dimenso is a library of numeric types for .Net and Java, that obey dimensional analysis and permit calculations with physical quantities. Due to the lack of C++ - like templates with numeric arguments, code generation is employed using Python.
A KDE based Computer Algebra System (CAS) that can also be used as an advanced replacement for KCalc. It is essentially a front end GUI for Maxima (and is easily extended to other CAS back-ends) and Gnuplot.
Enough lame computing! The project for re-desiging and re-writing the computer world, based on old & new ideas that have never been implemented in a practical way. Research in form of discussion is in the public forum at this sourceforge project page.
Sk2Py is an wxPython-based IDE which assists in the migration of Cadence Skill(tm)-based PCells to Python PyCells for use in all Open Access environments. Please post any support requests or bug reports to the tracking system.
This is a implementation of the 'enhanced Topic-based Vector Space Model' (eTVSM) using the python language. A Java-Version and maybe other java-code contributions are planned.
yaucp, Yet another uController Project. Is a set of tools and source of code and information for developing for the AVR families of microcontrollers under Linux using only GPL-compatible tools, released under the GPL.
This program will calculate and output metrics on code written in Python. Reports can be generated in text- or XML-files. A plug-in system lets new metrics be added to the program. A set of built-in plug-ins with provide some of the most common metrics a
REPCAL (REverse Polish CALculator) is a light and fast calculator in RPN (reverse polish notation) mode for the console (command line). It is written in 180 lines of Python code, and can be used both interactively or inside shell scripts.
As of 2012, the sourcecode is hosted in GitHub https://github.com/tessonec/PySPG
PySPG is both, a set of python modules and a program that allows the user to run a program systematically changing the parameters that them receive.
Originally conceived to generate parameters for running simulations in computational physics.
Computer Controlled Optical Microscopy is a package to enable camera equipped microscopes to generate multi-modal time-lapse image sequences
of 3D volumes. This is achieved by periodically changing optical settings, xyz positions and acquiring images.
Net.py is a tool for learning about neural nets. Currently, it only allows the user to experiment with a Hopfield net. I am now extending it to cover the Kohonen net. I'd be pleased to receive suggestions and criticism.