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A python refactoring library and IDE. The IDE uses the library for providing features like refactorings and coding assists.

try $ gcc -I/usr/include/python2.4 -L/lib/python2.4/config --shared example.c example_wrap.c -lpython2.4 -o _example.dll

PyNGL (pronounced "pingle") is a Python language module used to visualize scientific data, with an emphasis on high quality 2D visualizations. A working knowledge of Python is assumed.

Last week we looked at the itertools module and how its iterator based functions can be faster than doing things from scratch. One of the examples showed a function using itertools.takewhile to be much faster than one using itertools.groupby. Some feedback we got, asked, what then is the point of groupby if it's just a slower version of other functionality?

PyACTS- http://www.pyacts.org -- PyACTS is a collection of Python Modules that are very useful to Parallel Computing in a High Performance Computing environment. This packages incorporates several modules like PyBLACS (allows communication data for Linear Algebra), PyPBLAS (distributed Matrix Operations) and PyScaLAPACK (solve linear systems and get the eigenvalue problems). These libraries are part of PyACTS project that provide interfaces to the ACTS Collection. Also is provided a parrallel interpreter for using this package that implements message-based parallel programming using MPI.

Tired of debugging Python using print statements? Don't like the cumbersome PDB (Python debugger) console? Prefer using Vim for coding your Python programs? VimPdb is the solution - allows debugging Python in an IDE-fashion, right within the Vim editor.

PyInstaller is a program that converts (packages) Python programs into stand-alone executables, under Windows, Linux and Irix. Its main advantages over similar tools are that PyInstaller works with any version of Python since 1.5, it builds smaller executables thanks to transparent compression, it is multi-platform (so you can build one-file binaries also under Linux), and use the OS support to load the dynamic libraries, thus ensuring full compatibility. PyInstaller is an effort to rescue, maintain and further develop Gordon McMillan's Python Installer (now PyInstaller). Their official website is not longer available and the original package is not longer maintained. Believing that it is still far superior to py2exe, we have setup this site to continue its further development. Feel free to join us in the effort! Please consult our Roadmap to check our plans. Also usage reports are welcomed: let us know if PyInstaller works for you and how, or what problems you found in using it.

PyChecker is a tool for finding bugs in python source code. It finds problems that are typically caught by a compiler for less dynamic languages, like C and C++. It is similar to lint. Because of the dynamic nature of python, some warnings may be incorrect; however, spurious warnings should be fairly infrequent.

Document options Document options requiring JavaScript are not displayed Rate this pageHelp us improve this contentLevel: IntroductoryDavid Mertz (mertz@gnosis.cx), Applied Metaphysician, Gnosis Software, Inc. 01 Mar 2001Although users usually think of Python as a procedural and object-oriented language, it actually contains everything you need for a completely functional approach to programming. This article discusses general concepts of functional programming, and illustrates ways of implementing functional techniques in Python. We'd better start with the hardest question: "What is functional programming (FP), anyway?" One answer would be to say that FP is what you do when you program in languages like Lisp, Scheme, Haskell, ML, OCAML, Clean, Mercury, or Erlang (or a few others). That is a safe answer, but not one that clarifies very much. Unfortunately, it is hard to get a consistent opinion on just what FP is, even from functional programmers themselves. A story about elephants and blind men seems apropos here. It is also safe to contrast FP with "imperative programming" (what you do in languages like C, Pascal, C++, Java, Perl, Awk, TCL, and most others, at least for the most part).

This script mimics rsync which is available for the unix platform and have been ported to win32 one. It is a sort of advanced version of xcopy. Its aim is to selectively synchronize folders. More precisely it copy selective parts of a folder to a destination folder and in addition can remove parts of the destination folder that do not correspond to parts of the original folder. I like its capability to avoid copying files through the .cvsignore mechanism or the pattern matching mechanism and its capability to delete files that are no longer relevant, not to mention that because it's a python script anyone can easily fix or improve it as he whish.

Python threads - a first example If you have a process that you want to do several things at the same time, threads may be the answer for you. They let you set up a series of processes (or sub-processes) each of which can be run independently, but which can be brought back together later and/or co-ordinated as they run