January 2014 Browserify is incredibly popular these days, and rightfully so. In this article we'll look at the basics of how it works. Browserify uses the term entry file(s) to describe where it will start reading a dependency graph, and its output is referred to as a bundle. At its highest level, a Browserify bundle is simply an IIFE, or Immediately Invoked Function Expression. This is of course
In homage to Python, batteries are included. Here's the list of modules and namespaces:- core, the daddy of them all. Includes such beauties as Compatiblity functions, abstracting away differences and allowing things like pushd in all shells A set of base64 decode functions which decode regardless of what binaries you've got (if any at all) A dependency framework to document required binaries, set
This look back at a dune that NASA's Curiosity Mars rover drove across was taken by the rover's Mast Camera (Mastcam) during the 538th Martian day, or sol, of Curiosity's work on Mars (Feb. 9, 2014). The rover had driven over the dune three days earlier. For scale, the distance between the parallel wheel tracks is about 9 feet (2.7 meters). The dune is about 3 feet (1 meter) tall in the middle o
In the last post, I described a way to crop an image down to just the part containing text. The end product was something like this: In this post, I’ll explain how to extract text from images like these using the Ocropus OCR library. Plain text has a number of advantages over images of text: you can search it, it can be stored more compactly and it can be reformatted to fit seamlessly into web UIs
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