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Releases: adafruit/Adafruit_CircuitPython_TinyLoRa

1.0.5

21 Dec 17:51
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  • Explicitly declare irq (RFM Pin D0) direction as input and cs (RFM Pin NSS) direction as output within adafruit_tinylora.py.

To use in CircuitPython, simply install the Adafruit CircuitPython bundle.

To use in CPython, pip install adafruit-circuitpython-tinylora.

Read the docs for info on how to use it.

1.0.4

20 Dec 16:43
8063358
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  • Fix SPI line ordering for examples
  • Updated comments to reflect AU915 frequencies (thanks to @philwilkinson40)
  • Updated comments to reflect correct AS/EU frequency plans and added frequencies for the US regional frequency plan.

To use in CircuitPython, simply install the Adafruit CircuitPython bundle.

To use in CPython, pip install adafruit-circuitpython-tinylora.

Read the docs for info on how to use it.

1.0.3

05 Dec 21:51
1bc6cae
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  • Added a LED blink to/examples to signify the status of the packet.
  • Updated README to include license info and PyPi installation instructions.

1.0.2

05 Dec 03:38
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Minor release with ram optimizations for the Feather M0

Update for PyPi

04 Dec 20:30
bf94618
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  • Fixing an issue with PyPi deployment

To use in CPython, pip install adafruit-circuitpython-tinylora

Initial release of CircuitPython TinyLoRa Library

04 Dec 20:00
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Initial release of CircuitPython TinyLoRaWAN library. This is a library for communicating with The Things Network using a Hope RF RFM95/96/97/98(W) LoRa Transceiver Module.

Features:

  • Supports sending data over multiple channels (or single - you can specify one!) to The Things Network
  • Supports major TTN regional frequency plans - US, AU, AS, EU
  • Support for multiple (7) datarates.

Examples for sending data packets and sending data from a temperature/humidity sensor are included with this release.

Note: This is a large library. It will fit on a Feather M4, but we suggest downloading the .mpy file to save space on M0/M4 boards.

To use in CircuitPython, download the .mpy file and copy it to the lib folder on the CIRCUITPY drive. Or, simply install the Adafruit CircuitPython bundle.

To use in CPython, pip install adafruit-circuitpython-<libname>.

Read the docs for info on how to use it.