Lucipy: The simple LUCIDAC python client
This is a code to get started with the LUCIDAC 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 best in little script files or 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 at https://github.com/anabrid/lucipy and published to the Python Package Index at https://pypi.org/project/lucipy/.
Installation
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 https://anabrid.dev/docs/lucipy.
Metadata
Release files for lucipy 1.7.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| lucipy-1.7.2.tar.gz | 56.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lucipy-1.7.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 110.2 kB
Release files / lucipy-1.7.2.tar.gz
| Download URL | lucipy-1.7.2.tar.gz |
|---|---|
| Size | 56.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.3
|
Release files / lucipy-1.7.2-py3-none-any.whl
| Download URL | lucipy-1.7.2-py3-none-any.whl |
|---|---|
| Size | 53.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.3
|