Waste the space or fill up the rack with additional Raspberry Pies? Well, we decided for the latter, and so our 1024-node Raspberry Pi cluster became a 1060-node Raspberry Pi cluster
deftly avoided this common pitfall by 3D printing the entire enclosure for the VirtuScope, and since he’s shared all of the STLs, he’s even made it so anyone can run off their own copy. The majority of the parts can be done on any FDM printer with a 20 x 20 x 10cm build area, though there are a few detail pieces that need the resolution of an SLA machine.
what’s inside the 3D printed case? Not a whole lot, really. Obviously there’s a Raspberry Pi, a 3.5 inch TFT touch screen display, and a miniature keyboard. The keyboard is of the Bluetooth variety, and other than being freed from its enclosure and wired into the header on the display module for power, it’s otherwise stock.
As for the parts you can’t see from the outside, there’s a 3.7 V 4400 mAh battery pack and an Adafruit PowerBoost 1000 module to handle charging and power distribution. Beyond the big lighted button on the side (which you could certainly replace with something more low-key should you chose), that’s about it. When it’s all together, you’ve got a battery powered computer that’s ready for the road with a minimum amount of fuss.
Here’s something you can do before work, with your morning coffee, or whilst waiting for dinner to cook of an evening. And there’s never been a better time to install Kubernetes to a Raspberry Pi, with the price-drop on the 2GB model — perfect for containers.
This project extends the base LMIC 1.6 implementation with 915 subband selection and demonstrates how to use the LMIC 1.6 LoRaWAN stack on a Raspberry Pi targeting the Dragino LoRa/GPS HAT and a Raspberry Pi Zero with a standalone Hope RFM95W LoRa module.
Personal assistants are hot these days. Open source personal assistant is a dream for many developers. Recently released Jasper makes it really easy to install personal assistant on Raspberry Pi and use it for custom voice commands, information retrieval and so on. Jasper is written in Python and can be extended through the API. More importantly, Jasper uses CMUSphinx for offline speech recognition, so much waited capability for assistant developers.