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UPDATED GUIDES: #AdafruitIO Basics Guides for #CircuitPython on @Raspberry_Pi #IoTuesday

That’s right! It’s CircuitPython on Raspberry Pi with Adafruit IO! Wire up your favorite sensors and use the same great CircuitPython code you’ve been using with the Feather Huzzah right on your Raspberry Pi, and send values to Adafruit IO, our Internet-of-Things platform for makers/hackers/educators/everyone!

We’ve got tons of projects, libraries and example code for CircuitPython on microcontrollers, and thanks to the flexibility and power of Python it’s easy to get it working with micro-computers like Raspberry Pi or other ‘Linux with GPIO pins available’ single board computers.

We’ve written a special library called Adafruit Blinka to provide the layer that translates the CircuitPython hardware API to whatever library the Linux board provides.

We’ve also been updating the Adafruit IO Basics Series on the Adafruit Learning System. In addition to supporting Arduino platforms, they now have sections for wiring up the sensor to your Raspberry Pi, installing CircuitPython libraries on your Raspberry Pi, and configuring the code to work with Adafruit IO.


Adafruit IO Basics: Colors

This guide is part of a series of guides that cover the basics of using Adafruit IO. It will show you how to send color data from Adafruit IO to a RGB LED.


Adafruit IO Basics: Digital Input

This guide is part of a series of guides that cover the basics of using Adafruit IO. It will show you how to send momentary button press data to Adafruit IO.


Adafruit IO Basics: Digital Output

This guide is part of a series of guides that cover the basics of using Adafruit IO. It will show you how to turn a LED on and off from Adafruit IO using any modern web browser.

Check out these updated guides today in the Adafruit Learning System.


Make a robot friend with Adafruit’s CRICKIT – A Creative Robotics & Interactive Construction Kit. It’s an add-on to our popular Circuit Playground Express, FEATHER and other platforms to make and program robots with CircuitPython, MakeCode, and Arduino. Start controlling motors, servos, solenoids. You also get signal pins, capacitive touch sensors, a NeoPixel driver and amplified speaker output. It complements & extends your boards so you can still use all the goodies on the microcontroller, now you have a robotics playground as well.

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