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_preview/14/.buildinfo

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# Sphinx build info version 1
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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: b7a02a39e5fc91a946c7739b4f60d0ab
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tags: 645f666f9bcd5a90fca523b33c5a78b7

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<div class="row">
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<div class="column">
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<img src="_static/NSF-Unidata_lockup_horizontal_2023_light.png" alt="NSF-Unidata Logo" width="35%"/>
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</div>
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<div class="column">
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<img src="_static/metpy_150x150.png" alt="MetPy Logo" width="35%"/>
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</div>
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</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)
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[![Binder](http://binder.projectpythia.org/badge_logo.svg)](http://binder.projectpythia.org/v2/gh/ProjectPythia/metpy-cookbook/main?labpath=notebooks)
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[![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.
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We provide a gallery of real workflows centered around meteorological data,
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and the building blocks you need to recreate those workflows or cook up brand new ones yourself.
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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">
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<img src="https://contrib.rocks/image?repo=ProjectPythia/metpy-cookbook" />
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</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
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[Binder](https://mybinder.org/), which enables the execution of a
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[Jupyter Book](https://jupyterbook.org) in the cloud. The details of how this works are not
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important for now. All you need to know is how to launch a Pythia
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Cookbooks chapter via Binder. Simply navigate your mouse to
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the top right corner of the book chapter you are viewing and click
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on the rocket ship icon, (see figure below), and be sure to select
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“launch Binder”. After a moment you should be presented with a
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notebook that you can interact with. I.e. you’ll be able to execute
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and even change the example programs. You’ll see that the code cells
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have no output at first, until you execute them by pressing
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{kbd}`Shift`\+{kbd}`Enter`. Complete details on how to interact with
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a live Jupyter notebook are described in [Getting Started with
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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
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git clone https://github.com/ProjectPythia/metpy-cookbook.git
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```
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1. Move into the `metpy-cookbook` directory
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```bash
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cd metpy-cookbook
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```
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1. Create and activate your conda environment from the `environment.yml` file
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```bash
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conda env create -f environment.yml
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conda activate metpy-cookbook
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```
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1. Move into the `notebooks` directory and start up Jupyter Lab
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```bash
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cd notebooks/
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jupyter lab
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```

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