Four short links: 23 January 2015

Investment Themes, Python Web Mining, Code Review, and Sexist Brilliance

  1. 16 Andreessen-Horowitz Investment Areas — I’m struck by how they’re connected: there’s a cluster around cloud development, there are two maybe three on sensors …
  2. Patterna web mining module for the Python programming language. It has tools for data mining (Google, Twitter and Wikipedia API, a web crawler, a HTML DOM parser), natural language processing (part-of-speech taggers, n-gram search, sentiment analysis, WordNet), machine learning (vector space model, clustering, SVM), network analysis and <canvas> visualization.
  3. Code Review — FogCreek’s code review checklist.
  4. Expectations of Brilliance Underlie Gender Distributions Across Academic Disciplines (Science) — Surveys revealed that some fields are believed to require attributes such as brilliance and genius, whereas other fields are believed to require more empathy or hard work. In fields where people thought that raw talent was required, academic departments had lower percentages of women. (via WaPo)
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