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Natural Language Processing with Python - O'Reilly Media

by karlcow

This book offers a highly accessible introduction to Natural Language Processing, the field that underpins a variety of language technologies ranging from predictive text and email filtering to automatic summarization and translation. You'll learn how to write Python programs to analyze the structure and meaning of texts, drawing on techniques from the fields of linguistics and artificial intelligence.

Datejs - A JavaScript Date Library » About…

by Xavier Lacot & 9 others
A comprehensive javascript date library. A large panel of syntaxes are supported ("today", "next thursday", "last june", "2009/12/28", "2009/28/11é, etc.

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2008

2007

c THE dot.de cssutils - CSS library for Python

by jdrsantos & 2 others
A Python package to parse and build CSS Cascading Style Sheets. Partly implements the DOM Level 2 Style Stylesheets and CSS interfaces. An implementation of the WD CSS Module: Namespaces which has no official DOM yet is included from v0.9.1.

Mastering Oracle Python, Part 3: Data Parsing

by pvergain
There are countless reasons for parsing data, as well as tools and techniques to do it. But even the "right" tool may be insufficient when you need to do something new with the data. The same concerns exist for the integration of heterogeneous data sources. Sooner or later, the right tool for the right job happens to be a programming language. Oracle offers some very powerful utilities for loading, processing, and unloading data. SQL*Loader, Data Pump, external tables, Oracle Text, regular expressions—it's all there. Yet there is often a need to do things outside the database (or, trivially, perhaps you just weren't granted the necessary database privileges). Python delivers possibilities for efficient data parsing at a high level. The extensive standard library and many modules available for free on the Internet make it possible to work with data logic rather than dissecting bytes by hand.

2006

pyconstruct »

by pvergain & 1 other
Construct is a python library for parsing and building of arbitrary data structures. It works by defining complex constructs using more primitive ones, in a hierarchy. This declarative structuring of components makes it very flexible and strong. It's the first library that makes parsing fun, instead of the usual headache it is today.

Apache Java parser API - javadoc

by chickenfire
The documentation of the Xerces-J API for java.

SimplePie: Super-fast, easy-to-use, RSS and Atom Parsing.

by ycc2106 & 20 others
SimplePie is a very fast and easy-to-use class, written in PHP, that puts the 'simple' back into 'really simple syndication'. Annotated link http://www.diigo.com/bookmark/http%3A%2F%2Fsimplepie.org

Perl.com: Lexing Your Data

by karlcow
Most of us have tried at one time or another to use regular expressions to do things we shouldn't: parsing HTML, obfuscating code, washing dishes, etc. This is what the technical term "showing off" means.

2005

HANDY ONE-LINERS FOR SED

by sledge
The essential, official compendium of useful sed one-liners. Organised into sections by usage, such as file spacing, line numbering, selective line removal/deletion and optimisation. Updated 10 April 1998.

VObject Home

by roberto & 2 others
Vobject is intended to be a full featured Python package for parsing and generating vCard and vCalendar files.

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