semvec/pypi-packages huggingface dataset:
codon-compiler-demo 0.18.0
A compiled language similar to Python. Compatible with Python syntax.
Requires Python: >=3.6

**This package is experimental.**

# What is this package about?

Codon is an open-source compiled language with Python syntax and semantics (mostly).
It works well together with python.

See:
* https://github.com/exaloop/codon
* https://docs.exaloop.io/codon

This package allows you to install Codon with:

    pip install codon-compiler-demo

In addition, you can build binary python packages with codon code.  Here is a
`setup.py` example:

    from codon_compiler_demo.setup_tools import setup, CodonExtension, BuildCodonExt

    setup(
        name='mymodule',
        version='0.1',
        packages=['mymodule'],
        ext_modules=[
            CodonExtension('mymodule', 'mymodule.codon'),
        ],
        cmdclass={'build_ext': BuildCodonExt},
        install_requires=[
            'codon_compiler_demo',
        ],
    )

For more details, see: https://docs.exaloop.io/codon/interoperability/pyext

# Dev status

I created this package for my own needs -- as described above.  As of now, it works
for linux only.

I don't (yet) have the expertise to build and maintain a widely-used binary
python package.  I would be very happy if anybody who needs a more mature and widely
usable codon-compiler package would take this idea over and maintain it.

If you need pointers for what I have done so far, reach out to: yaakov.belch@gmail.com
heterogeneity-index 0.2.0
A library to detect fronts using an heterogeneity index
Requires Python: >=3.10

# Heterogeneity-Index

Python library to compute the Heterogeneity Index from SST, as defined in [Haëck et al. (2023)][haeck 2023] and [Liu & Levine (2016)][liu 2016].

Some filters are provided that can be applied to the input field before front detection.
Some diagnostics relying on fronts detection may be available in the future 🚧.

Documentation: https://biofronts.pages.in2p3.fr/heterogeneity-index

## Installation

From PyPI:
``` sh
pip install heterogeneity-index
```

From source:
``` sh
git clone https://gitlab.in2p3.fr/biofronts/heterogeneity-index
cd heterogeneity-index
pip install -e .
```

## Requirements

- Python >= 3.10
- Numpy >= 1.24
- Numba >= 0.57

Optional but recommended:
- Xarray
- Dask

## References
- Haëck, C., Lévy, M., Mangolte, I., and Bopp, L.: “Satellite data reveal earlier and stronger phytoplankton blooms over fronts in the Gulf Stream region”, *Biogeosciences* **20**, 1741–1758, https://doi.org/10.5194/bg-20-1741-2023, 2023.
- Liu, X. and Levine, N. M.: “Enhancement of phytoplankton chlorophyll by submesoscale frontal dynamics in the North Pacific Subtropical Gyre”, *Geophys. Res. Lett.* **43**, 1651–1659, https://doi.org/10.1002/2015gl066996, 2016.

[haeck 2023]: https://doi.org/10.5194/bg-20-1741-2023
[liu 2016]: https://doi.org/10.1002/2015gl066996