pycayennelpp 1.1.0

Encoder and Decoder for CayenneLLP

# PyCayenneLPP

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A Cayenne Low Power Payload (CayenneLPP) decoder and encoder written in Python.
See also [myDevicesIoT/CayenneLPP](https://github.com/myDevicesIoT/CayenneLPP)
for more information on the format and a reference implementation in C++.

The project is under active development. Releases will be published on the
fly as soon as a certain number of new features and fixes have been made.

## Getting Started

PyCayenneLPP does not have any external dependencies, but only uses builtin
functions and types of Python 3. At least Python in version 3.4 is required.

### Prerequisites

The PyCayenneLPP package is available via PyPi using `pip`. To install it run:

```Shell
pip3 install pycayennelpp
```

### Usage Examples

The following show how to utilise PyCayenneLPP in your own application
to encode and decode data into and from CayenneLPP.

## Encoding

```Python
from cayennelpp import LppFrame


# create empty frame
frame = LppFrame()
# add some sensor data
frame.add_temperature(0, -1.2)
frame.add_humidity(6, 34.5)
# get byte buffer in CayenneLPP format
buffer = frame.bytes()
```

## Decoding

```Python
from cayennelpp import LppFrame


# byte buffer in CayenneLPP format with 1 data item
# i.e. on channel 1, with a temperature of 25.5C
buffer = bytearray([0x01, 0x67, 0x00, 0xff])
# create frame from bytes
frame = LppFrame().from_bytes(buffer)
# print the frame and its data
print(frame)
```

## Contributing

Contributing to a free open source software project can take place in many
different ways. Feel free to open issues and create pull requests to help
improving this project. Each pull request has to pass some automatic tests and
checks run by Travis-CI before being merged into the master branch.

Please take note of the [contributing guidelines](CONTRIBUTING.md) and the
[Code of Conduct](CODE_OF_CONDUCT.md).

## License

This is a free open source software project published under the [MIT License](LICENSE).