Once upon a time, there was a warm, fuzzy hack. It was 2010 – Becky Stern and Lada Ada (Limor Fried) built on Steve Conklin’s disk emulator and knitting machine resources to allow their modern computers to work with the ancient microcontroller of a 1980s knitting machine. This meant that they could now knit designs made with modern tools, too complex or tedious to easily knit by hand. They shared their work with the world and since then, following an open hardware model, they and many others have contributed hardware and software improvements, smoothed the workflow, and allowed other models of knitting machine to be hacked. I went for a beautiful autumnal bike ride over to Wedding and caught up with Fabienne Serrière (FBZ), who has contributed a number of improvements to the original hack and has the wonderful woolens to show for it. We talked about the history of knitting machines, this hack, open hardware and Fabienne’s various projects, and started plotting to make an open source sweater to keep me warm in the winter months. We covered so many different things that I can only show you a brief introduction to her projects now, but there will be more to come!
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, or even use Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for MakeCode, CircuitPython, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.