Mandy: The periodic table (teaser)

About six months ago, I started working on a project I like to call my piece de resistance. It combines a number of maker skills that I’ve learned over the past few years.  I call her Mandy, and she’s a laser-cut periodic table that has a bunch of three-color LEDS, an Arduino that controls the individually addressable LEDs, and a Raspberry Pi that stores information about the elements.  To make it stand out from being “just another bright periodic table”, I added a voice activation component, so Mandy is able to display different periodic trends at your verbal command!

I’m getting ready to move to a different part of the country, so I do not have time to provide more information about Mandy.  In the meanwhile, I created a teaser-trailer for your (OK, my) personal enjoyment.


Microwolf – running Mathematica on a Pi Zero

Wolfram’s Mathematica can run on a $5 Raspberry Pi zero. While it may be painfully slow, it does open up opportunities to use Mathematica in low-power, remote-sensing applications. This blog post is a first in a series highlighting the design challenges I’ve encountered (and in some cases overcome) building Mathematica on Pi (MoP) devices. (Hey, I think I just created a new acronym.)

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Bake my Pi and eat it too?

Do you ever wake up too early and can’t get back to sleep, so you decide to mess around with your Raspberry Pi, only to find out that the SD card has been baked and the operating system doesn’t load? This seems to happen to me more often than I’d like (both the waking up early and the baked RPi). There must have been something in that instant coffee (didn’t want to wake my wife with the noise of the coffee machine) and Italian Sweet Creme flavored creamer (instant coffee tastes awful without it) because I was able to come up with a reasonably clever solution to my problem this time.

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Which came first

Ahh, the age-old question of the chicken or the egg. There’s a similar theme in my family having to do with my Dad and making stuff. He introduced me to electronics when I was too young to realize how awesome it was, I introduced him to the Raspberry Pi, then he introduced me to Adruino. I introduced him to video capture on the Pi (with the help of a 3D printed camera case) and he turned it around into a nest cam! Ahh, so there’s the bird connection, this is a post about setting up a quick and dirty (and surprisingly effective) nest cam!

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A Vernier Go!Link package for Mathematica

The Go! Link from Vernier Software & Technology (Vernier), is a USB adapter for their proprietary sensors which also provides some basic features such as a buffer, sensor auto-identification and raw voltage reading conversion. Vernier provides a software development kit which allows programmers to use Go! devices in their own systems. Since Wolfram’s Mathematica software became available on the Raspberry Pi, I have been thinking about how one can build a flexible sensor system using Vernier’s products and based on the inexpensive computer and the powerful data analysis and visualization tools of Mathematica. This project isn’t new, and my earlier attempts were highlighted on the Raspberry Pi blog and I recently announced a previous version of this software package. What I’m presenting now is a more user-friendly system that makes data collection easy through the device driver framework incorporated into Mathematica.

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GoIOLink release candidate 1


GoIOLink is the flagship component of a project I call VernierPiLink which seeks to provide a variety of Vernier-sensor-Raspberry-Pi integration resources.  It relies on VS&T’s Go!Link USB adapter to perform the physical connection between an analog Vernier sensor and the Raspberry Pi.  On the software side, I am using the Go! I/O software development kit also from VS&T and the Wolfram Language which comes free (for non-commercial use) on the Raspberry Pi.

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Using Vernier LabQuest sensors on the Raspberry Pi

In the previous iteration of my website, I had some details about installing the Vernier Go software development kit on the Raspberry Pi and then using Mathematica to visualize the results.  Here is an updated set of instructions which is a little more straightforward.

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