Merge branch 'master' into features/783-api-relational

doc/source/conf.py

@@ -45,9 +45,9 @@
     "sphinx_rtd_theme",
     "sphinx.ext.napoleon",
     "sphinx.ext.mathjax",
+    "sphinx_copybutton",
 ]
 
-
 # Document Python Code
 autoapi_type = "python"
 autoapi_dirs = ["../../heat/"]
@@ -88,6 +88,9 @@ def setup(sphinx):
 napoleon_numpy_docstring = True
 napoleon_use_ivar = True
 
+copybutton_prompt_text = r">>> |\.\.\. |\$ |In \[\d*\]: | {2,5}\.\.\.: | {5,8}: "
+copybutton_prompt_is_regexp = True
+
 html_show_sourcelink = True
 
 # The suffix(es) of source filenames.

doc/source/tutorial_30_minutes.rst

@@ -51,7 +51,7 @@ Output:
     DNDarray([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=ht.int32, device=cpu:0, split=None)
 
 
-The following snippet creates a column vector with :math:`5` element, each position filled with the value :math:`9` and the ``ht.int64`` data type.
+The following snippet creates a column vector with :math:`5` elements, each position filled with the value :math:`9` and the ``ht.int64`` data type.
 
 .. code:: python
 

doc/source/tutorials.rst

@@ -38,7 +38,7 @@ Heat Tutorials
 
         <a class="reference external" href="tutorial_parallel_computation.html">
             <div class="tutorial-text">
-                <strong>Parallel Computing</strong>
+                <strong>Turn up the Heat - Parallel Computing</strong>
                 <p/>
                 <p>Speed up Heat even further with GPUs acceleration or distributed MPI computation.</p>
                 <em>Well-suited for beginners.</em>
@@ -57,7 +57,7 @@ Heat Tutorials
 
         <a class="reference external" href="tutorial_clustering.html">
             <div class="tutorial-text">
-                <strong>Cluster Analysis</strong>
+                <strong>Keep the Heat - Cluster Analysis</strong>
                 <p/>
                 <p>Automatically identify clusters in your data by employing unsupervised clustering methods.</p>
                 <em>For intermediate analysts.</em>