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Pandoc is a free-software document converter, widely used as a writing tool (especially by scholars) [2] and as a basis for publishing workflows. [3] It was created by John MacFarlane , a philosophy professor at the University of California, Berkeley .
For example, Markdown plugins exist for every major blogging platform. [ 12 ] While Markdown is a minimal markup language and is read and edited with a normal text editor , there are specially designed editors that preview the files with styles, which are available for all major platforms.
This table lists the machine-readable file formats that can be exported from reference managers. These are typically used to share data with other reference managers or with other people who use a reference manager. To exchange data from one program to another, the first program must be able to export to a format that the second program may import.
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.
A build component stack is defined in an XML file with a .config extension. Sandcastle provides several build components that are used in build component stacks to perform tasks such as generating in-memory data indexes, resolving links, including shared content, executing XSL transformations and saving the final output to a file.
YAML (/ ˈ j æ m əl /, rhymes with camel [4]) was first proposed by Clark Evans in 2001, [15] who designed it together with Ingy döt Net [16] and Oren Ben-Kiki. [16]Originally YAML was said to mean Yet Another Markup Language, [17] because it was released in an era that saw a proliferation of markup languages for presentation and connectivity (HTML, XML, SGML, etc.).
The determination of data being "wrong" is an interpretation of the data that stems from a particular point of view that may not be valid for everyone, or at every point in time. Therefore the data vault must capture all data and only when reporting or extracting data from the data vault is the data being interpreted.
The main parts of the Jupyter Notebooks are: Metadata, Notebook format and list of cells. Metadata is a data Dictionary of definitions to set up and display the notebook. Notebook Format is a version number of the software. List of cells are different types of Cells for Markdown (display), Code (to execute), and output of the code type cells. [23]