EmPy is a system for embedding Python expressions and statements in template text. It takes an EmPy source file, processes it, and produces output. This is accomplished via expansions, which are special signals to the EmPy system and are set off by a special prefix (by default the at sign, '@'). It can expand arbitrary Python expressions and statements in this way, as well as a variety of special forms. Textual data not explicitly delimited in this way is sent unaffected to the output, allowing Python to be used in effect as a markup language. Also supported are callbacks via hooks, recording and playback via diversions, and dynamic, chainable filters. The system is highly configurable via command line options and embedded commands.
distcc is a parallel build system that distributes compilation of C/C++/ObjC code across machines on a network. It can be set up in just a few minutes and makes builds up to ten times faster. It does not require machines to share a filesystem or have the same libraries or header files, and installation does not need superuser privileges.
SPYCE is a server-side language that supports simple and efficient Python-based dynamic HTML generation, otherwise called Python Server Pages. Those who like Python and are familiar with JSP, PHP, or ASP should have a look at Spyce. Its modular design makes it very flexible and extensible. It can also be used as a command-line utility for static text pre-processing or as a Web-server proxy.
Pyspice is an easily extendable SPICE pre-processor written in Python to reduce simulation times with little loss in accuracy. It was inspired by John Sheahan's spicepp and developed as a modular and extensible method of pre-processing netlists. Primarily, it has been used to reduce netlists from the output of layout extraction tools. It combines parallel MOSFETs and capacitors, and optionally drops small capacitors. Planned improvements include a hierarchical namespace (e.g. .subckt/.ends and .alter blocks), more devices, and .include/.model support. Unlike other pre-processors, comments and blank lines are preserved in their relative positions. This keeps the output netlist readable for subsequent editing or processing.
PySTDF is a Python module which makes it easy to work with STDF (Teradyne's Standard Test Data Format). STDF is a commonly-used file format in semiconductor tests. Automated test equipment (ATE) from such vendors as Teradyne, Verigy, LTX, Credence, and others supports this format. PySTDF provides event-based stream parsing of STDF version 4, indexers that help structure the data into a more useful tabular form, and the ability to generate missing summary records or new types of derivative records. The parser architecture is very flexible and can easily be extended to support STDF version 3 and custom record types.