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Soup Sieve is a CSS selector library designed to be used with [Beautiful Soup 4][bs4]. It aims to provide selecting, matching, and filtering using...
Soup Sieve Overview Soup Sieve is a CSS selector library designed to be used with Beautiful Soup 4. It aims to provide selecting, matching, and filtering using modern CSS selectors. Soup Sieve currently provides selectors from the CSS level 1 specifications up through the latest CSS level 4 drafts and beyond (though some are not yet implemented). Soup Sieve was written with the intent to replace Beautiful Soup's builtin select feature, and as of Beautiful Soup version 4.7.0, it now is :confetti_ball:. Soup Sieve can also be imported in order to use its API directly for more controlled, specialized parsing. Soup Sieve has implemented most of the CSS selectors up through the latest CSS draft specifications, though there are a number that don't make sense in a non-browser environment. Selectors that cannot provide meaningful functionality simply do not match anything. Some of the supported selectors are: .classes [attributes=value] parent child parent > child sibling ~ sibling sibli
.. image:: https://travisci.org/spacyio/spaCy.svg?branchmaster :target: https://travisci.org/spacyio/spaCy spaCy: Industrialstrength NLP spaCy is a library for advanced natural language processing in Python and Cython.Documentation and details: https://spacy.io/spaCy is built on the very latest research, but it isn't researchware. It was designed from day 1 to be used in real products. It's ...
Sparksklearn Spark integration with scikitlearn and numpy.This package contains some tools to integrate the [Spark computing framework](http://spark.apache.org/) with the popular [scikitlearn machine library](http://scikitlearn.org/stable/). Among other tools: train and evaluate multiple scikitlearn models in parallel. It is a distributed analog to the ...
Python 3 module for speech-dispatcher
SpeechRecognition Library for performing speech recognition, with support for several engines and APIs, online and offline.Speech recognition engine/API support:* CMU Sphinx < (works offline) * Google Speech Recognition * Google Cloud Speech API < * Wit.ai < * Microsoft Bing Voice Recognition < * Houndify API < * IBM Speech to Text < * Snowboy Hotword Detection < (works offline)**Quickstart:**...
Sphinx is a tool that makes it easy to create intelligent and beautiful documentation for Python projects (or other documents consisting of multiple reStructuredText sources), written by Georg Brandl. It was originally created to translate the new Python documentation, but has now been cleaned up in the hope that it will be useful to many other projects. Sphinx uses reStructuredText as its markup language, and many of its strengths come from the power and straightforwardness of reStructuredText and its parsing and translating suite, the Docutils. Although it is still under constant development, the following features are already present, work fine and can be seen "in action" in the Python docs: * Output formats: HTML (including Windows HTML Help) and LaTeX, for printable PDF versions * Extensive cross-references: semantic markup and automatic links for functions, classes, glossary terms and similar pieces of information * Hierarchical structure: easy definition of a document tree, with automatic links to siblings, parents and children * Automatic indices: general index as well as a module index * Code handling: automatic highlighting using the Pygments highlighter * Various extensions are available, e.g. for automatic testing of snippets and inclusion of appropriately formatted docstrings.