
Datalore-IP-M4 by TG-Techie
Datalore IP M4 is an integrable CircuitPython ready module for soldering onto projects. Like Adafruit’s Metro M4 squeezed into 1 square inch.
Learn More
Contribute
Have some info to add for this board? Edit the source for this page here.
CircuitPython 9.2.6
This is the latest stable release of CircuitPython that will work with the Datalore-IP-M4. Use this release if you are new to CircuitPython.
Modules included in this download
_asyncio _bleio _pixelmap adafruit_bus_device adafruit_pixelbuf aesio alarm analogio array atexit audiobusio audiocore audioio audiomixer audiomp3 binascii bitbangio bitmaptools board builtins builtins.pow3 busdisplay busio busio.SPI busio.UART codeop collections countio digitalio displayio epaperdisplay errno floppyio fontio fourwire framebufferio frequencyio getpass gifio i2cdisplaybus i2ctarget io json keypad keypad.KeyMatrix keypad.Keys keypad.ShiftRegisterKeys locale math microcontroller msgpack neopixel_write nvm onewireio os os.getenv paralleldisplaybus ps2io pulseio pwmio rainbowio random re rgbmatrix rotaryio rtc samd sdcardio select sharpdisplay storage struct supervisor sys terminalio time touchio traceback ulab usb_cdc usb_hid usb_midi vectorio warnings watchdog zlibFeatures: Castellated Pads
Absolute Newest
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.