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41 changes: 23 additions & 18 deletions README.html
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<div class="sidebar-primary-items__end sidebar-primary__section">
<div class="sidebar-primary-item">
<div id="ethical-ad-placement"
class="flat"
data-ea-publisher="readthedocs"
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<section class="tex2jax_ignore mathjax_ignore" id="dask-cookbook">
<h1>Dask Cookbook<a class="headerlink" href="#dask-cookbook" title="Link to this heading"><i class="fas fa-link"></i></a></h1>
<p><a class="reference external" href="https://github.com/ProjectPythia/cookbook-template/actions/workflows/nightly-build.yaml"><img alt="nightly-build" src="https://github.com/ProjectPythia/cookbook-template/actions/workflows/nightly-build.yaml/badge.svg" /></a>
<a class="reference external" href="http://binder.projectpythia.org/v2/gh/ProjectPythia/dask-cookbook/main?labpath=notebooks"><img alt="Binder" src="https://mybinder.org/badge_logo.svg" /></a>
<a class="reference external" href="http://binder.projectpythia.org/v2/gh/ProjectPythia/dask-cookbook/main?labpath=notebooks"><img alt="Binder" src="https://binder.projectpythia.org/badge_logo.svg" /></a>
<a class="reference external" href="https://zenodo.org/badge/latestdoi/610934658"><img alt="DOI" src="https://zenodo.org/badge/610934658.svg" /></a></p>
<p>This Project Pythia Cookbook provides a comprehensive guide to understanding the basic concepts and collections of Dask as well as its integration with Xarray.
Dask is a parallel computing library that allows you to scale your computations to multiple cores or even clusters, while Xarray is a library that enables working with labelled multi-dimensional arrays, with a focus on working with netCDF datasets.</p>
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</section>
<section id="running-the-notebooks">
<h2>Running the Notebooks<a class="headerlink" href="#running-the-notebooks" title="Link to this heading"><i class="fas fa-link"></i></a></h2>
<p>You can either run the notebook using <a class="reference external" href="https://mybinder.org/">Binder</a> or on your local machine.</p>
<p>You can either run the notebook using <a class="reference external" href="https://binder.projectpythia.org/">Binder</a> or on your local machine.</p>
<section id="running-on-binder">
<h3>Running on Binder<a class="headerlink" href="#running-on-binder" title="Link to this heading"><i class="fas fa-link"></i></a></h3>
<p>The simplest way to interact with a Jupyter Notebook is through
<a class="reference external" href="https://mybinder.org/">Binder</a>, which enables the execution of a
<a class="reference external" href="https://binder.projectpythia.org/">Binder</a>, which enables the execution of a
<a class="reference external" href="https://jupyterbook.org">Jupyter Book</a> 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
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<div class="footer-item">
<p class="last-updated">
Last updated on 4 December 2024.
Last updated on 13 January 2025.
<br/>
</p>
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</div>

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By Negin Sobhani, Brian Vanderwende, Deepak Cherian, and Ben Kirk.

Last updated on 4 December 2024.
Last updated on 13 January 2025.
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6 changes: 3 additions & 3 deletions _sources/README.md
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# Dask Cookbook

[![nightly-build](https://github.com/ProjectPythia/cookbook-template/actions/workflows/nightly-build.yaml/badge.svg)](https://github.com/ProjectPythia/cookbook-template/actions/workflows/nightly-build.yaml)
[![Binder](https://mybinder.org/badge_logo.svg)](http://binder.projectpythia.org/v2/gh/ProjectPythia/dask-cookbook/main?labpath=notebooks)
[![Binder](https://binder.projectpythia.org/badge_logo.svg)](http://binder.projectpythia.org/v2/gh/ProjectPythia/dask-cookbook/main?labpath=notebooks)
[![DOI](https://zenodo.org/badge/610934658.svg)](https://zenodo.org/badge/latestdoi/610934658)

This Project Pythia Cookbook provides a comprehensive guide to understanding the basic concepts and collections of Dask as well as its integration with Xarray.
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## Running the Notebooks

You can either run the notebook using [Binder](https://mybinder.org/) or on your local machine.
You can either run the notebook using [Binder](https://binder.projectpythia.org/) or on your local machine.

### Running on Binder

The simplest way to interact with a Jupyter Notebook is through
[Binder](https://mybinder.org/), which enables the execution of a
[Binder](https://binder.projectpythia.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
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