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MkDocs converts Markdown files into HTML pages, effectively creating a static website containing documentation.. Markdown is extensible, and the MkDocs ecosystem exploits its extensible nature through a number of extensions [2] [3] that help with for autogenerating documentation from source code, adding admonitions, writing mathematical notation, inserting footnotes, highlighting source code etc.
GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [8]
Python Tools for Visual Studio (PTVS) is a free and open-source plug-in for versions of Visual Studio up to VS 2015 providing support for programming in Python. Since VS 2017, it is integrated in VS and called Python Support in Visual Studio. It supports IntelliSense, debugging, profiling, MPI cluster debugging, mixed C++/Python debugging, and ...
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 .
It is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software.
Shiny is a web framework for developing web applications (apps), originally in R and since 2022 in python. It is free and open source. [2] It was announced by Joe Cheng, CTO of Posit, formerly RStudio, in 2012. [3] One of the uses of Shiny has been in fast prototyping. [4] In 2022, a separate implementation Shiny for Python was announced. [5]
Mezzanine is a content management system written in Python using the Django framework. [2] [promotional source?] [3] It was initially developed by Stephen McDonald in 2010, then formally released for use in 2012. [4] McDonald wrote in a blog post that reception to Mezzanine was mostly positive, with the most notable feedback coming from GitHub ...
In August 2013, Rob Andrews made the first open source commit on GitHub and began porting the MATLAB version to Python. [5] Later he was joined by William Holmgren and Tony Lorenzo [6] who completed the migration and released the first version to the Python Package Index (PyPI) on April 20, 2015.