# EMCPy

EMCPy is a Python library developed at NOAA/EMC for creating clear, reproducible meteorological visualizations.  
It provides tools for working with maps, Skew-T diagrams, time series, and statistical plots, designed to run smoothly in both desktop and HPC environments.

This code has been made freely available under the terms of the
`GNU Lesser General Public License <https://www.gnu.org/licenses/lgpl.html>`_.

## What you’ll find here

This documentation is structured to help you at every stage:

- **Get started** — install EMCPy and make your first plot in minutes.  
- **How-to guides** — short, focused recipes for common tasks (“How do I plot a Skew-T?”, “How do I use discrete color categories?”).  
- **Examples gallery** — a collection of full scripts with rendered images. Copy, paste, and adapt them.  
- **Explanations** — background information, design notes, and troubleshooting tips.  
- **Contributing** — how to add new examples and improve the docs.  

```{toctree}
:maxdepth: 1
:caption: EMCPy

get-started/index
explanations/index
contributing/index
plot_types/index
examples/index
```

```{tip}
If you’re new, start with **Get started** → {doc}`get-started/index`.
If you want working code quickly, jump to the **Examples gallery** → {doc}`examples/index`.
```