Metadata-Version: 2.1
Name: lucipy
Version: 1.2.0
Summary: Client library for the LUCIDAC analog digital hybrid computer
Author-email: The Analog Geeks <pybrid-code@anabrid.com>
License: SPDX-License-Identifier: MIT OR GPL-2.0-or-later
Project-URL: Homepage, https://anabrid.com/
Project-URL: Documentation, https://anabrid.dev/docs/lucipy/
Project-URL: Repository, https://github.com/anabrid/lucipy
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: End Users/Desktop
Classifier: Topic :: Communications
Classifier: Topic :: Scientific/Engineering :: Interface Engine/Protocol Translator
Classifier: Topic :: Software Development :: Embedded Systems
Classifier: Topic :: Terminals :: Serial
Classifier: Operating System :: POSIX
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE.md
Provides-Extra: serial
Requires-Dist: pyserial>=3.5; extra == "serial"
Provides-Extra: detection
Requires-Dist: zeroconf>=0.63.0; extra == "detection"

# Lucipy: The simple LUCIDAC python client

This is a code to get started with the [LUCIDAC](https://anabrid.com/luci)
analog-digital hybrid computer. With this library, users can program the
network-enabled analog computer straight from the Python programming language.

It is a minimal python code with near-to-no dependencies. It works very
well interactively in IPython and Jupyter Notebooks and within your favourite
scientific python environment on any platform (Mac/Windows/Linux).

This is [open source code released under MIT/GPL](LICENSE.md) at
https://github.com/anabrid/lucipy and published to the Python Package Index
at https://pypi.org/project/lucipy/.

## Installlation

Assuming you have a working Python installation:

```
pip install lucipy
```

Or just clone the repository (which is just online
at https://github.com/anabrid/lucipy) and import the `lucipy` directory.

## Documentation

For further information see the code documentation including usage examples
and API reference at https://anabrid.github.io/lucipy
or at https://anabrid.dev/docs/lucipy.

