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Source channel @githubtrending · Post #15132 · Sep 10

#scala X's Recommendation Algorithm uses machine learning to show you posts and content you are most likely to engage with across its platform, including the "For You" timeline and notifications. It gathers a large pool of posts from people you follow and others you might like, then ranks them by predicting your interest based on your past actions like likes, clicks, and replies. It also filters out unwanted content and mixes in sponsored posts to keep your feed relevant and diverse. This means your feed is personalized to show you the most interesting and safe content, improving your experience on X. https://github.com/twitter/the-algorithm

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djangoproject

@djangoproject · Post #551 · 01/23/2018, 04:28 PM

http://lxml.de/ #lxml is the most feature-rich and easy-to-use library for processing #XML and #HTML in the Python language. The lxml XML toolkit is a Pythonic binding for the #C libraries #libxml2 and #libxslt. It is unique in that it combines the speed and XML feature completeness of these libraries with the simplicity of a native Python #API, mostly compatible but superior to the well-known ElementTree API. The latest release works with all #CPython versions from 2.6 to 3.6. See the introduction for more information about background and goals of the lxml project. Some common questions are answered in the FAQ.