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RasPipe: A Raspberry Pi Pipeline Viewer, Part 2

I just wrapped up the second half of this project:

Previously, in RasPipe: A Raspberry Pi Pipeline Viewer, Part 1, we explored writing a visualization of standard streams using Python and the Pygame library to render simple graphics on a PiTFT.

Next, we’ll talk about making that visualizer (or other code) available over the network, so that you can easily send it traffic from other computers, including Linux, Windows, OS X, and mobile devices.

We’ll use a grab bag of tools to accomplish this:

  • netcat – a command-line utility for easily pushing traffic around a network.
  • Node.js – a fast, capable server-side JavaScript implementation with a bunch of useful library code available.
  • Flask – a fast and easy Python web application framework.

By the end of this guide, you should be equipped with a useful toolkit for bridging the gaps between networked machines for all sorts of projects.

Check it out over on the Learning System.

MVI_5346_56-179


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