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talyarkoni.org
Now that I’ve got your attention: what I hate—and maybe dislike is a better term than hate—isn’t the open science community, or open science initiatives, or open science practices, or open scientists… it’s the term. I fundamentally dislike the term open science. For the last few years, I’ve deliberately tried to avoid using it. I don’t call myself an open scientist, I don’t advocate publicly for o
[citation needed] and after the citation, some ice cream would be nice Menu and widgets Warning: what follows is a somewhat technical discussion of my love-hate relationship with the R statistical language, in which I somehow manage to waste 2,400 words talking about a single line of code. Reader discretion is advised. I’ve been using R to do most of my statistical analysis for about 7 or 8 years
[citation needed] and after the citation, some ice cream would be nice Menu and widgets Over the past two years, my scientific computing toolbox been steadily homogenizing. Around 2010 or 2011, my toolbox looked something like this: Ruby for text processing and miscellaneous scripting; Ruby on Rails/JavaScript for web development; Python/Numpy (mostly) and MATLAB (occasionally) for numerical compu
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