dask.pydata.org -> dask.org

Author: mrocklin

index.html

@@ -33,24 +33,24 @@
       </div>
       <div class="collapse navbar-collapse" id="navbarNavDropdown">
         <ul class="navbar-nav">
-          <li class="navbar-item"><a class="nav-link" href="http://dask.pydata.org/en/latest/why.html">Why Dask?</a></li>
+          <li class="navbar-item"><a class="nav-link" href="http://docs.dask.org/en/latest/why.html">Why Dask?</a></li>
 
           <li class="nav-item dropdown">
             <a class="nav-link dropdown-toggle" href="#" id="navbarDropdownMenuLink" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false">
               Documentation
             </a>
             <div class="dropdown-menu" aria-labelledby="navbarDropdownMenuLink">
-              <a class="dropdown-item" href="http://dask.pydata.org/en/latest/docs.html">Overview</a>
-              <a class="dropdown-item" href="http://dask.pydata.org/en/latest/array.html">Arrays</a>
-              <a class="dropdown-item" href="http://dask.pydata.org/en/latest/dataframe.html">Dataframes</a>
+              <a class="dropdown-item" href="http://docs.dask.org/en/latest/">Overview</a>
+              <a class="dropdown-item" href="http://docs.dask.org/en/latest/array.html">Arrays</a>
+              <a class="dropdown-item" href="http://docs.dask.org/en/latest/dataframe.html">Dataframes</a>
               <a class="dropdown-item" href="http://ml.dask.org/">Machine Learning</a>
-              <a class="dropdown-item" href="http://dask.pydata.org/en/latest/delayed.html">Custom Applications</a>
-              <a class="dropdown-item" href="http://dask.pydata.org/en/latest/futures.html">Real Time</a>
+              <a class="dropdown-item" href="http://docs.dask.org/en/latest/delayed.html">Custom Applications</a>
+              <a class="dropdown-item" href="http://docs.dask.org/en/latest/futures.html">Real Time</a>
             </div>
           </li>
 
-          <li class="navbar-item"><a class="nav-link" href="http://dask.pydata.org/en/latest/install.html">Install</a></li>
-          <li class="navbar-item"><a class="nav-link" href="http://dask.pydata.org/en/latest/setup.html">Deploy</a></li>
+          <li class="navbar-item"><a class="nav-link" href="http://docs.dask.org/en/latest/install.html">Install</a></li>
+          <li class="navbar-item"><a class="nav-link" href="http://docs.dask.org/en/latest/setup.html">Deploy</a></li>
           <li class="navbar-item"><a class="nav-link" href="https://github.com/dask/dask-tutorial">Tutorial</a></li>
         </ul>
       </div>
@@ -66,7 +66,7 @@
         Dask provides advanced parallelism for analytics,
         enabling performance at scale for the tools you love
       </p>
-        <a class="btn outline-dask btn-lg" href="http://dask.pydata.org/en/latest/docs.html">Learn More</a>
+        <a class="btn outline-dask btn-lg" href="http://docs.dask.org/en/latest/">Learn More</a>
         <a class="btn solid-dask btn-lg" href="https://mybinder.org/v2/gh/dask/dask-examples/master?urlpath=lab" role="button">Try Now &raquo;</a>
       </div>
       <div class="product-device box-shadow d-none d-md-block"></div>
@@ -93,7 +93,7 @@ <h2 class="mt-3">Numpy</h2>
             <img src="_images/dask-array-black-text.svg" class="top-image">
             <p>Dask arrays scale Numpy workflows, enabling multi-dimensional data analysis in earth science, satellite imagery, genomics, biomedical applications, and machine learning algorithms.</p>
             <p>
-              <a class="btn btn-outline-secondary" href="http://dask.pydata.org/en/latest/array.html" role="button">Learn More &raquo;</a>
+              <a class="btn btn-outline-secondary" href="http://docs.dask.org/en/latest/array.html" role="button">Learn More &raquo;</a>
               <a class="btn btn-secondary" href="https://mybinder.org/v2/gh/dask/dask-examples/master?urlpath=lab/tree/array.ipynb" role="button">Try Now &raquo;</a>
             </p>
           </div><!-- /.col-lg-4 -->
@@ -102,7 +102,7 @@ <h2 class="mt-3">Pandas</h2>
             <img src="_images/dask-dataframe.svg" class="top-image">
             <p>Dask dataframes scale Pandas workflows, enabling applications in time series, business intelligence, and general data munging on big data.</p>
             <p>
-              <a class="btn btn-outline-secondary" href="http://dask.pydata.org/en/latest/dataframe.html" role="button">Learn More &raquo;</a>
+              <a class="btn btn-outline-secondary" href="http://docs.dask.org/en/latest/dataframe.html" role="button">Learn More &raquo;</a>
               <a class="btn btn-secondary" href="https://mybinder.org/v2/gh/dask/dask-examples/master?urlpath=lab/tree/dataframe.ipynb" role="button">Try Now &raquo;</a>
             </p>
           </div><!-- /.col-lg-4 -->
@@ -112,7 +112,7 @@ <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 APIs 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>
+              <a class="btn btn-outline-secondary" href="https://ml.dask.org/" role="button">Learn More &raquo;</a>
               <a class="btn btn-secondary" href="https://mybinder.org/v2/gh/dask/dask-examples/master?urlpath=lab/tree/machine-learning.ipynb" role="button">Try Now &raquo;</a>
             </p>
           </div><!-- /.col-lg-4 -->
@@ -129,7 +129,7 @@ <h2 class="featurette-heading">Familiar for Python users</h2>
             <h2 class="featurette-subheading">and easy to get started</h2>
             <p class="lead">Dask uses existing Python APIs and data structures to make it easy to switch between Numpy, Pandas, Scikit-learn to their Dask-powered equivalents.</>
             <p class="lead">You don't have to completely rewrite your code or retrain to scale up.</p>
-            <a class="btn btn-secondary" href="http://dask.pydata.org/en/latest/api.html" role="button">Learn About Dask APIs &raquo;</a>
+            <a class="btn btn-secondary" href="http://docs.dask.org/en/latest/api.html" role="button">Learn About Dask APIs &raquo;</a>
           </div>
 
           <div class="col-md-5 code-block">
@@ -161,7 +161,7 @@ <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="http://dask.pydata.org/en/latest/scheduling.html" role="button">Learn About Dask Schedulers &raquo;</a>
+            <a class="btn btn-secondary" href="http://docs.dask.org/en/latest/scheduling.html" role="button">Learn About Dask Schedulers &raquo;</a>
           </div>
           <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"
@@ -186,7 +186,7 @@ <h2 class="featurette-subheading">Enabling you to parallelize internal systems</
         </div>
 
         <div class="text-center">
-          <a class="btn btn-outline-secondary btn-lg" href="http://dask.pydata.org/en/latest/docs.html" role="button">Learn More &raquo;</a>
+          <a class="btn btn-outline-secondary btn-lg" href="http://docs.dask.org/en/latest/" role="button">Learn More &raquo;</a>
           <a class="btn btn-secondary btn-lg" href="https://mybinder.org/v2/gh/dask/dask-examples/master?urlpath=lab" role="button">Try Now &raquo;</a>
         </div>