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[citation needed] It takes its name from the poem Beautiful Soup from Alice's Adventures in Wonderland [5] and is a reference to the term "tag soup" meaning poorly-structured HTML code. [6] Richardson continues to contribute to the project, [ 7 ] which is additionally supported by paid open-source maintainers from the company Tidelift.
Werkzeug (German for "tool") is a utility library for the Python programming language for Web Server Gateway Interface (WSGI) applications. Werkzeug can instantiate objects for request, response, and utility functions. It can be used as the basis for a custom software framework and supports Python 2.7 and 3.5 and later. [20] [21]
Django (/ ˈ dʒ æ ŋ ɡ oʊ / JANG-goh; sometimes stylized as django) [6] is a free and open-source, Python-based web framework that runs on a web server. It follows the model–template–views (MTV) architectural pattern.
Sphinx converts reStructuredText files into HTML websites and other formats including PDF, EPub, Texinfo and man.. reStructuredText is extensible, and Sphinx exploits its extensible nature through a number of extensions – for autogenerating documentation from source code, writing mathematical notation or highlighting source code, etc.
Beautiful Soup, a package for parsing HTML and XML documents; Cheetah, a Python-powered template engine and code-generation tool; Construct, a python library for the declarative construction and deconstruction of data structures; Genshi, a template engine for XML-based vocabularies; IPython, a development shell both written in and designed for ...
HTML parsers are software for automated Hypertext Markup Language (HTML) parsing. They have two main purposes: HTML traversal: offer an interface for programmers to easily access and modify the "HTML string code". Canonical example: DOM parsers. HTML clean: to fix invalid HTML and to improve the layout and indent style of the resulting markup.
Emmet (formerly Zen Coding [1]) is a set of plug-ins for text editors that allows for high-speed coding and editing in HTML, XML, XSLT, and other structured code formats via content assist. The project was started by Vadim Makeev in 2008 [ 2 ] and continues to be actively developed by Sergey Chikuyonok and Emmet users.
Language File Enhancements: Significant improvements have been made to various language files, notably CSS, Python, and HTML, enhancing syntax highlighting and code editing capabilities. Data Loss Prevention: A critical issue causing data loss when an unknown encoding was selected has been resolved.