Python is not built with math and statistics in mind, and this doesn’t work without using a package.

If you’re looking to move from R to Python, here are two interesting posts: Python is Weird (an unabashedly biased intro to Python for R users); Programming with Data: Python and Pandas. The first one, from which the above quotation is extracted, provides a side-by-side comparison of some of the features of each language. You might like or not, since R is a DSL and Python is not a good PL to compare. The second one is a complete tutorial on Pandas (including linear regression) in IPython notebooks. Besides, Chris Albon’s Technical Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters are also worth a look. #python

If you are a professional writer – i.e., if someone else is getting paid to worry about how your words are formatted and printed – Emacs outshines all other editing software in approximately the same way that the noonday sun does the stars. It is not just bigger and brighter; it simply makes everything else vanish. – https://batsov.com/articles/2011/11/19/why-emacs/

rga: Meet ripgrep with PDF full-search. (via HN)

[Quickdocs](Library Documentation Hosting for Common Lisp). Like Quicklisp, but for docs. #lisp

Formatting floating point numbers. (via HN)

Currently reading a review on Molecular Population Genetics. I have no idea what movie I can watch to occupy the rest of my evening and I’ll probably end up drinking on my couch, which is also my bed. Bad news from the stars…

  Alboran Trio, Near Gale.

Cultures of programming: Understanding the history of programming through controversies and technical artifacts (PDF, 75 pp.). (via @Jose_A_Alonso)

Significant Pattern Mining for Time Series. I really like such dynamic illustrations.

Interactive Charts with D3.js. (via HN) #dataviz