Monday, 13 April 2015
Interesting Snippets from 2015-04-13
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tibastral/markdownify · GitHub
The simplest markdown editor with built in cloudinary image upload.
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10 JavaScript libraries to draw your own diagrams
Some of these libraries have high level support for advanced features (e.g., ready to use shapes, palette, drag/drop,…), while others present a low level drawing features. Both open source and commercial libraries are covered. A comparative table is presented at the end of the post.
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Michael Stonebraker Explains Oracle’s Obsolescence, Facebook’s Enormous Challenge - Tech Trader Daily - Barrons.com
Suppose you are the Wal-Mart guy who has to figure out how to provision Wal-Mart products around major snow storms. The query you want to run is in the week before the storm, and the week after, What sold by department in the North East, and compare that with, say, Maryland — that’s standard business intelligence work. And what comes out is a big table of numbers. An alternatives is to get data scientists to build a predictive model to predict sales by department in the winter. You run that model and out comes a bunch of predictions, which is what the business guy actually wants. Sooner or later, the business intelligence world will move to the data science world, using things like regression analysis, Bayesian analysis — these are lots of big words, but all of these techniques, if you look at them, it’s an array-based, not a table-based calculation.
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mahmoud/boltons · GitHub
Like builtins, but boltons. Constructs/recipes/snippets that would be handy in the standard library.
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Everything We Wish We'd Known About Building Data Products - First Round Review
Truly, it comes down to the fact that building data products at scale is really hard. Here, Belkin and Patil offer a number of insightful tactics that they learned the hard way, so that others can have an easier time and start creating bold, new products that will change the way we see and connect with the world.