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Links 1 through 10 of 6772 Cesar's Bookmarks

def tests(): assert subparts('^it$') == {'^', 'i', 't', '$', '^i', 'it', 't$', '^it', 'it$', '^it$'} assert subparts('this') == {'t', 'h', 'i', 's', 'th', 'hi', 'is', 'thi', 'his', 'this'} subparts('banana') == {'a', 'an', 'ana', 'anan', 'b', 'ba', 'ban', 'bana',

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Part 1 SPARK + GRAPHS 1. Spark plus Graphs 1.1. Spark: the step beyond Hadoop MapReduce 1.2. Graphs: finding meaning from relationships 1.3. Putting them together for lightning fast graph processing: Spark GraphX 2. GraphX Quick Start 3. Some Fundamentals 3.1. Scala, the native language of Spark 3.

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Airbnb is trying to build a world where people can belong anywhere and there are no strangers. This helps hosts feel comfortable opening their homes and guests be confident traveling around the globe to stay with people they have never met before.

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This table shows the most similar words to a given query word, for each year, in 250,000 pre-1923 books provided by the Hathi Trust Research Center. This collection is a small, random subset of the millions of digitized books held by the Hathi Trust, so these results should be used with caution.

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One huge Scala reference card Code examples onGitHub

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Introduction Inspired by this Netflix post, I decided to write a post based on this topic using R. Thereā€¦

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This dataset consists of the IN and the OUT embeddings for 2.7M words trained on a Bing query corpus of 600M+ queries, using word2vec. There are two tab-separated files each containing a list of words and the corresponding 200-dimensional vector embeddings, one word per line.

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lpproj is a Python implementation of Locality Preserving Projections, built to be compatible with scikit-learn. It can be installed with pip; e.g. This notebook contains a very short example showing the use of the code.

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