semvec/pypi-packages huggingface dataset:
trilobot 0.0.2
Trilobot, a mid-level robot learning platform aimed at the Rasberry Pi SBC range
License: MIT
Requires Python: >=2.7
Keywords: Raspberry Pi

# Trilobot

A mid-level robot learning platform aimed at the Rasberry Pi SBC range. Learn more - https://shop.pimoroni.com/products/trilobot

[![Build Status](https://travis-ci.com/pimoroni/trilobot-python.svg?branch=main)](https://travis-ci.com/pimoroni/trilobot-python)
[![Coverage Status](https://coveralls.io/repos/github/pimoroni/trilobot-python/badge.svg?branch=main)](https://coveralls.io/github/pimoroni/trilobot-python?branch=main)
[![PyPi Package](https://img.shields.io/pypi/v/trilobot.svg)](https://pypi.python.org/pypi/trilobot)
[![Python Versions](https://img.shields.io/pypi/pyversions/trilobot.svg)](https://pypi.python.org/pypi/trilobot)

# Pre-requisites

You must enable:

* i2c: `sudo raspi-config nonint do_i2c 0`

You can optionally run `sudo raspi-config` or the graphical Raspberry Pi Configuration UI to enable interfaces.

# Installing

Stable library from PyPi:

* Just run `pip3 install trilobot`

In some cases you may need to use `sudo` or install pip with: `sudo apt install python3-pip`

Latest/development library from GitHub:

* `git clone https://github.com/pimoroni/trilobot-python`
* `cd trilobot-python`
* `sudo ./install.sh --unstable`

# Examples and Usage

There are many examples to get you started with your Trilobot. With the library installed on your Raspberry Pi, these can be found in the `~/Pimoroni/trilobot/examples` directory. Details about what each one does can be found in the [examples readme](/examples/README.md).

To take Trilobot further, the full API is described in the [library readme](/library/trilobot/README.md)

# Changelog
0.0.2
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* Add support for Xbox One Wireless Controller
* Fix crash with sn3218 >= 2.0.0

0.0.1
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* Initial Release