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  2. SQLAlchemy - Wikipedia

    en.wikipedia.org/wiki/SQLAlchemy

    SQLAlchemy is an open-source Python library that provides an SQL toolkit (called "SQLAlchemy Core") and an Object Relational Mapper (ORM) for database interactions. It allows developers to work with databases using Python objects, enabling efficient and flexible database access.

  3. MongoDB - Wikipedia

    en.wikipedia.org/wiki/MongoDB

    MongoDB is also available as an on-demand, fully managed service. MongoDB Atlas runs on AWS, Microsoft Azure and Google Cloud Platform. [45] On March 10, 2022, MongoDB warned its users in Russia and Belarus that their data stored on the MongoDB Atlas platform will be destroyed as a result of American sanctions related to the Russo-Ukrainian War ...

  4. DIGITAL Command Language - Wikipedia

    en.wikipedia.org/wiki/DIGITAL_Command_Language

    DIGITAL Command Language (DCL) is the standard command language adopted by many of the operating systems created by Digital Equipment Corporation.DCL had its roots in IAS, TOPS-20, and RT-11 and was implemented as a standard across most of Digital's operating systems, notably RSX-11 and RSTS/E, but took its most powerful form in VAX/VMS (later OpenVMS).

  5. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming (including metaprogramming [71] and metaobjects). [72]

  6. Wikipedia:CHECKWIKI/WPC 064 dump - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:CHECKWIKI/WPC...

    Run WPCleaner in the command line with a command such as: java -Xmx1024m -cp WPCleaner.jar:libs/* org.wikipediacleaner.Bot en user password DoTasks ListCheckWiki64.txt To mark pages as fixed, manually remove them from the list.

  7. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    Word2vec is a group of related models that are used to produce word embeddings.These models are shallow, two-layer neural networks that are trained to reconstruct linguistic contexts of words.