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<div class="row"> | ||
<div class="column"> | ||
<img src="_static/NSF-Unidata_lockup_horizontal_2023_light.png" alt="NSF-Unidata Logo" width="35%"/> | ||
</div> | ||
<div class="column"> | ||
<img src="_static/metpy_150x150.png" alt="MetPy Logo" width="100%"/> | ||
</div> | ||
</div> | ||
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# MetPy Cookbook | ||
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[![nightly-build](https://github.com/ProjectPythia/metpy-cookbook/actions/workflows/nightly-build.yaml/badge.svg)](https://github.com/ProjectPythia/metpy-cookbook/actions/workflows/nightly-build.yaml) | ||
[![Binder](http://binder.projectpythia.org/badge_logo.svg)](http://binder.projectpythia.org/v2/gh/ProjectPythia/metpy-cookbook/main?labpath=notebooks) | ||
[![DOI](https://zenodo.org/badge/620944317.svg)](https://zenodo.org/badge/latestdoi/620944317) | ||
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This Cookbook is the oversized recipe book for all your MetPy needs. | ||
We provide a gallery of real workflows centered around meteorological data, | ||
and the building blocks you need to recreate those workflows or cook up brand new ones yourself. | ||
Create the maps and analyses you've seen from class and professional institutions alike! | ||
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## Authors | ||
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MetPy Maintainers and the MetPy Community. | ||
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### Contributors | ||
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<a href="https://github.com/ProjectPythia/metpy-cookbook/graphs/contributors"> | ||
<img src="https://contrib.rocks/image?repo=ProjectPythia/metpy-cookbook" /> | ||
</a> | ||
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## Structure | ||
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### The MetPy Example Gallery | ||
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## Running the Notebooks | ||
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You can either run the notebook using [Binder](https://mybinder.org/) or on your local machine. | ||
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### Running on Binder | ||
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The simplest way to interact with a Jupyter Notebook is through | ||
[Binder](https://mybinder.org/), which enables the execution of a | ||
[Jupyter Book](https://jupyterbook.org) in the cloud. The details of how this works are not | ||
important for now. All you need to know is how to launch a Pythia | ||
Cookbooks chapter via Binder. Simply navigate your mouse to | ||
the top right corner of the book chapter you are viewing and click | ||
on the rocket ship icon, (see figure below), and be sure to select | ||
“launch Binder”. After a moment you should be presented with a | ||
notebook that you can interact with. I.e. you’ll be able to execute | ||
and even change the example programs. You’ll see that the code cells | ||
have no output at first, until you execute them by pressing | ||
{kbd}`Shift`\+{kbd}`Enter`. Complete details on how to interact with | ||
a live Jupyter notebook are described in [Getting Started with | ||
Jupyter](https://foundations.projectpythia.org/foundations/getting-started-jupyter.html). | ||
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### Running on Your Own Machine | ||
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If you are interested in running this material locally on your computer, you will need to follow this workflow: | ||
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1. Clone the `https://github.com/ProjectPythia/metpy-cookbook` repository: | ||
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```bash | ||
git clone https://github.com/ProjectPythia/metpy-cookbook.git | ||
``` | ||
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1. Move into the `metpy-cookbook` directory | ||
```bash | ||
cd metpy-cookbook | ||
``` | ||
1. Create and activate your conda environment from the `environment.yml` file | ||
```bash | ||
conda env create -f environment.yml | ||
conda activate metpy-cookbook | ||
``` | ||
1. Move into the `notebooks` directory and start up Jupyter Lab | ||
```bash | ||
cd notebooks/ | ||
jupyter lab | ||
``` |
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