As a scientist, interacting with data allows you to gain new insight into the phenomena you’re studying. If you read the New York Times, the D3 docs or you browse distill, you’ll see im… (more…)
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After much deliberation, the Python Steering Council is happy to announce that we have
chosen to accept PEP 634, and its companion PEPs 635 and 636, collectively known as the
Pattern Matching PEPs. We acknowledge that Pattern Matching is an extensive chan... (more…)
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💡Python package for object oriented headers, http and imap. Parse headers to objects. - Ousret/kiss-headers... (more…)
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Traditional approaches to string matching such as the Jaro-Winkler or Levenshtein distance measure are too slow for large datasets. Using TF-IDF with N-Grams... (more…)
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