Free cd data extractor software for linux

Flat File Extractor can be used for reading different flat file structures and printing them in different formats. ffe is a command line tool developed in GNU/Linux environment and it is distributed under GNU General Public License 2 or later.
Main areas of use are:
- Extracting particular fields or records from a flat file
- Converting data from one format to an other, e.g. from CSV to fixed length
- Verifying a flat file structure
- Testing tool for flat file development
- Displaying flat file content in human readable form
Main features:
- Command-line tool
- Reads standard input and writes to standard output as default
- One input file can contain several types of records (lines)
- Fields in a flat file can be fixed length or separated
- Input file structure and output definitions are independent, meaning one output format can be used with several input files
- Input file structure and output format are freely configurable, they are not predefined
- Output can be formatted e.g. as: fixed length, separated, tokenized, XML, SQL,...
- ffe tries to guess the input format, user needs not to give it as a parameter
Enhancements:
- Configuration keyword const has been added

XML Extractor is a set of tools for transforming XML-like markup into entities or well-formed XML files.

The sourcecode XML metadata extraction tools are intended to be used for extracting and transforming XML-like markup embedded in source code comments into syntactically correct external entities or well-formed XML files.

This can be used for JavaDoc-like code annotation, providing structured comments, or even embedding metadata used by the build process or configuration management tools.

INSTALLATION

For info and options about installing this tool, type:
# python setup.py --help

USAGE

To see usage info for this tool, type:
# python xlf_to_wfx_cli.py --help

Common Data Format is a self-describing data abstraction for the storage and manipulation of multidimensional data in a platform- and discipline-independent fashion.
It consists of a scientific data management package (known as the "CDF Library") that allows programmers and application developers to manage and manipulate scalar, vector, and multi-dimensional data arrays.
Enhancements:
- Adds new sets of APIs to allow Standard Interface to interact with zVariables and other CDF-related information.
- Adds MingW and FreeBSD ports.
- Adds support for Intel C++ and Fortran for Linux.
- Adds the ability to create legacy CDF 2.7 files.
- Fixes a bug that prevented directories from having .cdf or .skt extensions.

Data.FormValidators aim is to bring all the benefits of the perl module Data::FormValidator over to javascript, using the same input profiles (they can be dumped into javascript objects using the perl module Data::JavaScript.
Data.FormValidator library lets you define profiles which declare the required and optional fields and any constraints they might have.
The results are provided as an object which makes it easy to handle missing and invalid results, return error messages about which constraints failed, or process the resulting valid data.
IMPORTANT NOTE: JavaScript form validation is NOT a replacement for data validation in your backend scripts. This is the primary reason this module was written... so that it would be easy to share the same validation profile for both the frontend (via Data.FormValidator.js) and backend (via Data::FormValidator.pm).
Enhancements:
- A problem where some functions were not terminated by a semi-colon, so JavaScript compactors would end up creating broken code was fixed.

Local Data Manager (LDM) is a collection of cooperating programs that select, capture, manage, and distribute arbitrary data products.
The system is designed for event-driven data distribution, and is currently used in the Unidata Internet Data Distribution (IDD) project. The LDM system includes network client and server programs and their shared protocols.
An important characteristic of the LDM is its support for flexible, site-specific configuration.
Enhancements:
- Fixes for timestamp bugs.

WWW::Yahoo::KeywordExtractor is a Perl module to get keywords from summary text via the Yahoo API.

SYNOPSIS

This module will submit content to the Yahoo keyword extractor API to return a list of relevant keywords.

use WWW::Yahoo::KeywordExtractor;
my $yke = WWW::Yahoo::KeywordExtractor->new();
my $keywords = $yke->extract(content => My wife and I love to cook together.

Carolyn surprises me with new things to love about her everyday.);

print join q{}. Keyword 1: , $keywords->[0], "n";

SUBROUTINES/METHOD

new

The new subroutine creates and returns a WWW:Yahoo::KeywordExtractor object.

extract

This method will return a list of keywords based on sample data. It will die if there is no content arg given.

Xephyrus Data Structures Tag Library provides an easy way to create and manipulate the contents of common Java data-structures such as maps and lists.
Enhancements:
- The library was polished up.
- Several improvements were made and a few bugs were fixed.
- This version is aimed at Java 5 and JSP 2.0.