Search results
Results From The WOW.Com Content Network
reStructuredText (RST, ReST, or reST) is a file format for textual data used primarily in the Python programming language community for technical documentation.. It is part of the Docutils project of the Python Doc-SIG (Documentation Special Interest Group), aimed at creating a set of tools for Python similar to Javadoc for Java or Plain Old Documentation (POD) for Perl.
The wiki-pages are stored in a folder structure in plain text files with wiki formatting. Zim can be used with the Getting Things Done method. [7] Zim is written in Python using GTK libraries. It is open source and free software under the GPL-2.0-or-later license. [2]
A push parser may skip parts of the input that are irrelevant (an example is Expat). pull parsers, such as parsers that are typically used by compilers front-ends by "pulling" input text. incremental parsers (such as incremental chart parsers) that, as the text of the file is edited by a user, does not need to completely re-parse the entire file.
Beautiful Soup is a Python package for parsing HTML and XML documents, including those with malformed markup. It creates a parse tree for documents that can be used to extract data from HTML, [3] which is useful for web scraping. [2] [4]
You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.
Dictionary Builder is a Rust program that can parse XML dumps and extract entries in files; Scripts for parsing Wikipedia dumps – Python based scripts for parsing sql.gz files from wikipedia dumps. parse-mediawiki-sql – a Rust library for quickly parsing the SQL dump files with minimal memory allocation
Pdf-parser is a command-line program that parses and analyses PDF documents. It provides features to extract raw data from PDF documents, like compressed images. pdf-parser can deal with malicious PDF documents that use obfuscation features of the PDF language. [1] The tool can also be used to extract data from damaged or corrupt PDF documents.
The motivations for this approach are to avoid inventing a completely new schema language, and to make it easy to convert general text and binary data, via a DFDL information set, into a corresponding XML document. Educational material is available in the form of DFDL Tutorials, videos and several hands-on DFDL labs.