by J&J Studios
The datum-Weather sensor combines the same SAMD21G18 microcontroller used on the Arduino Zero with the BME280 environmental sensor from Bosch Sensortec to create the simplest, easiest to use weather sensor for your application.
The datum-Weather sensor emulates a serial port over a USB connection, presents the information and data stored on it in a JSON formatted packet, and processes URI style commands to change and retrieve its settings. The datum-Weather sensor fills the gap between a LEGO® Mindstorms® sensor and a breakout board.
The datum-Weather sensor can do much more than just collect the data. The measurement units can be customized to suit your application. Temperature data can be returned in degrees Farenheit or Celsius. Altitude could be in meters or feet. The datum-Weather sensor does all the calculations for you.
It can also apply filters such as min, mix, mean, and RMS to the data stream. This truly makes the datum-Weather sensor a smart sensor that goes far beyond what a breakout board can do.
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This is the latest stable release of CircuitPython that will work with the datum-Weather.
Use this release if you are new to CircuitPython.
Built-in modules available: analogio, array, board, builtins, busio, busio.SPI, busio.UART, collections, digitalio, math, microcontroller, neopixel_write, nvm, os, pwmio, rainbowio, random, rotaryio, rtc, storage, struct, supervisor, sys, time, touchio, usb_cdc, usb_hid, usb_midi
Every time we commit new code to CircuitPython we automatically build binaries for each board and language. The binaries are stored on Amazon S3, organized by board, and then by language. These releases are even newer than the development release listed above. Try them if you want the absolute latest and are feeling daring or want to see if a problem has been fixed.
Previous Versions of CircuitPython
All previous releases of CircuitPython are available for download from Amazon S3 through the button below. For very old releases, look in the OLD/ folder for each board. Release notes for each release are available at GitHub button below.
Older releases are useful for testing if you something appears to be broken in a newer release but used to work, or if you have older code that depends on features only available in an older release. Otherwise we recommend using the latest stable release.