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avoid alternate column ordering, add header to numpy/pandas/sklearn s…
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mrocklin committed Mar 27, 2018
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<div class="container marketing p-md-5">

<!-- Three columns of text below the carousel -->
<h2 class="featurette-heading">Integrates with existing projects</h2>
<h2 class="featurette-subheading">Built with the broader community</h2>
<div class="row">

<div class="col-lg-4">
<img src="_images/dask-array-black-text.svg" class="top-image">
<h2 class="mt-3">Numpy</h2>
<p>Dask arrays scale Numpy, enabling multi-dimensional data analysis in earth science, advanced imaging, and machine learning algorithms</p>
<img src="_images/dask-array-black-text.svg" class="top-image">
<p>Dask arrays scale Numpy, enabling multi-dimensional data analysis in earth science, sattelite imagery, biomedical applications, and machine learning algorithms</p>
<p>
<a class="btn btn-outline-secondary" href="array.html" role="button">Learn More &raquo;</a>
<a class="btn btn-secondary" href="https://mybinder.org/v2/gh/dask/dask-examples/master?filepath=array.ipynb" role="button">Try Now &raquo;</a>
</p>
</div><!-- /.col-lg-4 -->
<div class="col-lg-4">
<img src="_images/dask-dataframe.svg" class="top-image">
<h2 class="mt-3">Pandas</h2>
<img src="_images/dask-dataframe.svg" class="top-image">
<p>Dask dataframes scale Pandas, enabling applications in time series, business intelligence, and general data munging on big data.</p>
<p>
<a class="btn btn-outline-secondary" href="dataframe.html" role="button">Learn More &raquo;</a>
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</div><!-- /.col-lg-4 -->
<div class="col-lg-4">
<!-- <img src="https://upload.wikimedia.org/wikipedia/commons/thumb/3/32/Rosenbrock_function.svg/300px-Rosenbrock_function.svg.png" class="top-image"> -->
<img src="https://www.inria.fr/var/inria/storage/images/medias/saclay/actualites-images/saclay_scikit_learn_classification_398x195/841331-1-fre-FR/saclay_scikit_learn_classification_398x195.jpg" class="top-image">
<h2 class="mt-3">Scikit-Learn</h2>
<img src="https://www.inria.fr/var/inria/storage/images/medias/saclay/actualites-images/saclay_scikit_learn_classification_398x195/841331-1-fre-FR/saclay_scikit_learn_classification_398x195.jpg" class="top-image">
<p>Dask-ML scales machine learning libraries like Scikit-Learn and XGBoost to enable scalable training and prediction on large models and large datasets</p>
<p>
<a class="btn btn-outline-secondary" href="https://dask-ml.readthedocs.org/en/latest/" role="button">Learn More &raquo;</a>
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<hr class="featurette-divider"></hr>

<div class="row featurette">
<div class="col-md-7 order-md-2">
<div class="col-md-7 order-md-1">
<h2 class="featurette-heading">Scale up to clusters </h2>
<h2 class="featurette-subheading">or just use it on your laptop</h2>
<p class="lead">Dask's schedulers scale to thousand-node clusters and its algorithms have been tested on some of the largest supercomputers in the world.</p>

<p class="lead">But you don't need a massive cluster to get started. Dask ships with schedulers designed for use on personal machines. Many people use Dask today to scale computations on their laptop, using multiple cores for computation and their disk for excess storage.</p>
<a class="btn btn-secondary" href="scheduling.html" role="button">Learn About Dask Schedulers &raquo;</a>
</div>
<div class="col-md-5 order-md-1" style="padding: 6rem 0rem;">
<div class="col-md-5 order-md-2" style="padding: 6rem 0rem;">
<img src="https://github.com/dask/dask-org/raw/master/images/grid_search_schedule.gif"
width="100%">
</div>
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