Search Results for "java open source" - Page 17

This is a collection of Python functions, with which data can be exported from the Python environment to a file which can be viewed in GoogleEarth.

xml.dom.easydom for python primarily behaves like any xml.dom.* you already use. Additionaly easydom provides operator overloadings which render xml processing descriptions more readable and hence less error-prone. See about 90% of your xml-code boosted.

WebPath is an experimental implementation of XPath 2.0 in Python, initially developed during Yahoo! Hack Day. It uses a novel parsing technique called Top Down Operator Precedence. Seeking developers to improve implementation and conformance.

This editor aims to help users creating their own ebooks in the newly released Open Publishing standard defined by International Digital Publishing Forum. The editor will permit the creatioin of ebook in OCF-1.0 format (.epub)

Das Projekt ist nach Github umgezogen, weil ich mit der Politik von SF.net nicht einverstanden bin. Der LaTeX-Assistant hilft das Grundgerüst einer LaTeX-Datei zusammenzustellen. --- The LaTeX-Assistant assists on creating the basic structure of a LaTeX file.

PHP + mod_python GUI for athenaCL

Search a data block for magic MIME identifiers and try to recover the found data using file type specific header information. Currently recovers audio and video files best, but also recognizes PDFs and other file types. New recipes for even more filetypes as well as contributors are welcome ! Logo: Derivative work of http://commons.wikimedia.org/wiki/File:Pied_Avocet_chick.jpg (CC-BY-SA)

Planing events, and comercials for TV Broadcast stations, Interfaces to PBS(tm), Pinnacle-Vortex(tm) with Web frontend

DXIE is a Dynamic XML Instance Editor that provides dynamic GUI editing of XML documents. DXIE reads a Document (XML) and its Schema (XSD) and produces a dynamic UI for editing (search, add, edit, and delete) of the Document.

For 2D data objects in Python, you have 3 main options: - Numpy Array - Pandas DataFrame (built on np.array) - SQL table Numpy and Pandas are great for working with a complete set of data, but not very efficient for building up row by row. SQL is good for building up the object row by row, but you have to write SQL and leave the world of Python objects. PySimpleTable tries to find the middle ground with more flexibility than Numpy or Pandas for incrementally building a 2D object...