semvec/pypi-packages huggingface dataset:
geogo 1.0.0
A python package for geospatial analysis and mapping
License: MIT License
Requires Python: >=3.8
Keywords: geogo

# geogo: Interactive Map for hurricane analysis 🌀🌎


[![image](https://img.shields.io/pypi/v/geogo.svg)](https://pypi.python.org/pypi/geogo)
[![image](https://img.shields.io/conda/vn/conda-forge/geogo.svg)](https://anaconda.org/conda-forge/geogo)
[![image](docs/GEOGO.png)](https://github.com/jlhammel/geogo)


**A python package for geospatial analysis and mapping**


-   Free software: MIT License
-   Documentation: https://jlhammel.github.io/geogo
-   Geogo is a Python package meant for climatologists to analyze hurricane data from HURDAT2. Geogo uses ipyleaflet to create interactive maps for analysis. This package will allow you to use WMS, raster, geojson, image, and video files to further understand the impact of past hurricanes. Using interactive maps, hurricane track data from the Python package tropycal, and NASA GIBS data, the user can track the hurricane and analyze the landscape around the impacted areas.

## Features

- Process geospatial data
- Track past hurricanes impacting the Americas
- Analyse hurricanes using images, raster, video, WMS, and geojson files
jaxoplanet 0.1.0
Probabilistic models for exoplanet inference in JAX
License: MIT License
Requires Python: >=3.10

# jaxoplanet

_Astronomical time series analysis with JAX_

---

*jaxoplanet* is a
[functional-programming](https://en.wikipedia.org/wiki/Functional_programming)-forward
implementation of many features from the
[exoplanet](https://docs.exoplanet.codes/en/latest/) and
[starry](https://starry.readthedocs.io/en/latest/) packages built on top of
[JAX](https://jax.readthedocs.io/en/latest/).

*jaxoplanet* includes fast and robust implementations of many exoplanet-specific
operations, including solving Kepler's equation, and computing limb-darkened
light curves. Since *jaxoplanet* is built on top of JAX it has first-class
support for hardware acceleration using GPUs and TPUs, and it also integrates
seamlessly with modeling tools like
[NumPyro](https://numpyro.readthedocs.io/en/latest/), and
[Flax](https://flax.readthedocs.io/en/latest/).

**For the most complete documentation, check out the documentation page at
[jax.exoplanet.codes](https://jax.exoplanet.codes).**

## Installation

You'll first need to install JAX following [the instructions in the JAX
docs](https://jax.readthedocs.io/en/latest/#installation). For example, to
install the CPU version of JAX, you can run:

```bash
python -m pip install "jax[cpu]"
```

Then install `jaxoplanet` with:

```bash
python -m pip install jaxoplanet
```

If you run into issues with installing `jaxoplanet`, specifically on ARM (i.e., M series chips) Macs, take a look at [the
installation instructions](https://jax.exoplanet.codes/en/latest/install).

```{admonition} Navigating the docs
:class: tip

💽 After [installing](doc:install) `jaxoplanet`, head over to the [Quickstart](quickstart) page to see some of its features.

🚩 If you're running into some problems with `jaxoplanet`, check out the [common issues](doc:commonissues) page for some general tips and tricks.

⚡ In the [Tutorials](tutorials) section we've added a few tutorials showcasing some common astronomy problems where `jaxoplanet` might come in handy!

🖥️ Take a look [here](doc:api) to see a user-friendly API reference for commonly used objects. The full API reference is also available!

```

## Attribution

While we don't yet have a citation for `jaxoplanet`, please reference the GitHub
repository if you find this code useful in your research. The BibTeX entry for
the repo is:

```
@software{jaxoplanet,
  author       = {Soichiro Hattori and
                  Lionel Garcia and
                  Catriona Murray and
                  Jiayin Dong and
                  Shashank Dholakia and
                  David Degen and
                  Daniel Foreman-Mackey},
  title        = {{exoplanet-dev/jaxoplanet: Astronomical time series analysis with JAX}},
  month        = mar,
  year         = 2024,
  publisher    = {Zenodo},
  version      = {v0.0.2},
  doi          = {10.5281/zenodo.10736936},
  url          = {https://doi.org/10.5281/zenodo.10736936}
}
```

## License
Copyright (c) 2021-2024 Simons Foundation, Inc.

`jaxoplanet` is free software made available under the MIT License. For details
see the `LICENSE` file.