The rt-stepper project provides a USB CNC controller solution. Most CNC controllers are designed to be driven with a PC parallel port. The rt-stepper solution replaces the parallel port with USB. Users can convert their existing parallel port CNC controller into a USB CNC controller. Designers can integrate the hardware into there own CNC controller. The PC side software is based on the popular EMC2 software at www.linuxcnc.org. EMC2 provides 4-axis support, a complete gcode interpreter, a trajectory planner, a GUI front-end, backplotting, and more. The best part of the solution is since the rt-stepper hardware provides the real time step pulses, you can now run EMC2 on Linux, Mac OS, and Windows.
rtf2latex2e is an utility to convert RTF files from popular word processors to the LaTeX2e format for those who value quality typesetting. rtf2latex2e uses the RTF reader package by Paul DuBois to parse the RTF code and generates an appropriate LaTeX file. The main features of rtf2latex2e are: detects text style: bold, italic, color, big, small,... reads embedded figures: PICT, WMF, PNG, JPEG,... reads tables: simple to semi- complex equations: reads out Equation Editor equations (courtesy Steve Swanson, http://www.mackichan.com) symbols: converts most greek and math symbols reads footnotes (not in tables yet), and converts hypertext links using the hyperref package.
The "Schily" Tool Box is a set of tools written or managed by Jörg Schilling. It includes programs like: cdrecord, cdda2wav, readcd, mkisofs, smake, bsh, btcflash, calc, calltree, change, compare, count, cpp (K&R original), devdump, hdump, isodebug, isodump, isoinfo, isovfy, label, mt, p, patch, sccs, scgcheck, scpio, sdd, sfind, sformat, smake, sh (Bourne Shell), star, star_sym, suntar, gnutar, tartest, termcap, and ved.
scikits.learn is a Python module that integrates classic machine learning algorithms in the tightly-knit world of scientific Python packages. It aims to provide simple and efficient solutions to learning problems that are accessible to everybody and reusable in various contexts: machine-learning as a versatile tool for science and engineering.