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  2. Power Query - Wikipedia

    en.wikipedia.org/wiki/Power_Query

    Power Query was first announced in 2011 under the codename "Data Explorer" as part of Azure SQL Labs. In 2013, in order to expand on the self-service business intelligence capabilities of Microsoft Excel, the project was redesigned to be packaged as an add-in Excel and was renamed "Data Explorer Preview for Excel", [4] and was made available for Excel 2010 and Excel 2013. [5]

  3. Wikipedia:Database download - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Database_download

    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

  4. XSLT - Wikipedia

    en.wikipedia.org/wiki/XSLT

    The XSLT document transformation specifies how to transform an XML document into new document (usually XML, but other formats, such as plain text are supported). [4] Typically, input documents are XML files, but anything from which the processor can build an XQuery and XPath Data Model can be used, such as relational database tables or ...

  5. Simple API for XML - Wikipedia

    en.wikipedia.org/wiki/Simple_API_for_XML

    The event-driven model of SAX is useful for XML parsing, but it does have certain drawbacks. Virtually any kind of XML validation requires access to the document in full. . The most trivial example is that an attribute declared in the DTD to be of type IDREF, requires that there be only one element in the document that uses the same value for an ID attribu

  6. reStructuredText - Wikipedia

    en.wikipedia.org/wiki/ReStructuredText

    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.

  7. Visual Basic for Applications - Wikipedia

    en.wikipedia.org/wiki/Visual_Basic_for_Applications

    As an example, VBA code written in Microsoft Access can establish references to the Excel, Word and Outlook libraries; this allows creating an application that – for instance – runs a query in Access, exports the results to Excel and analyzes them, and then formats the output as tables in a Word document or sends them as an Outlook email.

  8. Jinja (template engine) - Wikipedia

    en.wikipedia.org/wiki/Jinja_(template_engine)

    Jinja is a web template engine for the Python programming language.It was created by Armin Ronacher and is licensed under a BSD License.Jinja is similar to the Django template engine, but provides Python-like expressions while ensuring that the templates are evaluated in a sandbox.

  9. Cypher (query language) - Wikipedia

    en.wikipedia.org/wiki/Cypher_(query_language)

    The Cypher's data type system includes many of the common data types used in other programming and query languages. Supported data types include scalar value types such as boolean, string, number, integer, and floating-point numbers. It also supports temporal types like datetime, localdatetime, date, time, localtime, and duration.

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