Text Processing



Search Headquarters : Computers : Programming : Languages : Python : Modules : Text Processing
12 pages found in Text Processing:

CSV importer/exporter
Has heuristics for determining file format and an optional wxPython dialog. [Open Source, Python license]
http://sourceforge.net/projects/python-dsv/

CSV module for Python
Module for fast reading of CVS files. [Open Source, BSD-like]
http://www.object-craft.com.au/projects/csv/

EmPy
A templating system for Python. [Open Source, GPL]
http://www.alcyone.com/software/empy/

mxTextTools
Fast Text Manipulation Tools for Python. [Open Source]
http://www.egenix.com/products/python/mxBase/mxTextTools/

pyMifluz
Python bindings for mifluz (C++ library to build and query a full text inverted index). [Open Source, GPL]
http://sourceforge.net/projects/pymifluz/

pyparsing
A general parsing module for Python. Grammars are implemented directly in the client code using parsing objects, instead of externally, as with lex/yacc-type tools. Includes simple examples for parsing SQL, CORBA IDL, and 4-function math. [Open source, MIT License]
http://pyparsing.wikispaces.com

PyStemmer
Provides stemmer functionality in Python for English, German, Norwegian, Italian, Dutch, Portuguese, French, Swedish. [Open Source, BSD-like]
http://sourceforge.net/projects/pystemmer/

ServPDF
A web based Microsoft Office to PDF Converter Server which is based on SPYCE (Python Server Pages) and uses COM Automation to convert Office documents to Postscript and PDF. [Freeware]
http://www.goermezer.de/content/view/20/205/

SimpleParse
A parser generator for mxTextTools. [Open Source, BSD-like]
http://simpleparse.sourceforge.net/

SnoPy
Python extension for SNOBOL Pattern Matching using the SNOBOL code from the GNAT Ada compiler. [Open Source, GPL]
http://snopy.sourceforge.net/

SPARK
Scanning, Parsing, and Rewriting Kit. [Open Source, BSD-like]
http://pages.cpsc.ucalgary.ca/~aycock/spark/

Yapps (Yet Another Python Parser System)
An easy to use parser system for lightweight parsing needs. It's designed to be easy to use, but not designed to be fast. From a grammar file it generates readable Python code that looks somewhat like what you might have written by hand. [Open Source, MIT]
http://theory.stanford.edu/~amitp/Yapps/


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