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update pacakges in tutorial's landing page

Bas Nijholt authored on 17/10/2019 12:19:16
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@@ -10,17 +10,22 @@ This is an introductory notebook that shows some basic use cases.
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 ``adaptive`` needs at least Python 3.6, and the following packages:
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 - ``scipy``
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-- ``sortedcontainers``
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+- ``sortedcollections >= 1.1``
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+- ``sortedcontainers >= 2.0``
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+- ``atomicwrites``
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 Additionally ``adaptive`` has lots of extra functionality that makes it
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 simple to use from Jupyter notebooks. This extra functionality depends
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 on the following packages
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+- ``ipython``
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 - ``ipykernel>=4.8.0``
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 - ``jupyter_client>=5.2.2``
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-- ``holoviews``
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-- ``bokeh``
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+- ``holoviews>=1.9.1``
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 - ``ipywidgets``
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+- ``bokeh``
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+- ``matplotlib``
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+- ``plotly``
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 We recommend to start with the :ref:`Tutorial `~adaptive.Learner1D``.
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add docs for the SequenceLearner

Bas Nijholt authored on 29/07/2019 11:39:43
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@@ -40,6 +40,7 @@ We recommend to start with the :ref:`Tutorial `~adaptive.Learner1D``.
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     tutorial.DataSaver
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     tutorial.IntegratorLearner
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     tutorial.LearnerND
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+    tutorial.SequenceLearner
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     tutorial.SKOptLearner
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     tutorial.parallelism
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     tutorial.advanced-topics
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change urls from GitLab to GitHub

Bas Nijholt authored on 21/01/2019 14:56:03
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@@ -1,7 +1,7 @@
1 1
 Tutorial Adaptive
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 =================
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-`Adaptive <https://gitlab.kwant-project.org/qt/adaptive-evaluation>`__
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+`Adaptive <https://github.com/python-adaptive/adaptive>`__
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 is a package for adaptively sampling functions with support for parallel
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 evaluation.
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documentation improvements

Bas Nijholt authored on 19/10/2018 14:19:42
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@@ -22,6 +22,7 @@ on the following packages
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 - ``bokeh``
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 - ``ipywidgets``
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+We recommend to start with the :ref:`Tutorial `~adaptive.Learner1D``.
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 .. note::
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     Because this documentation consists of static html, the ``live_plot``
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small documentation improvements

Bas Nijholt authored on 18/10/2018 13:46:58
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@@ -1,11 +1,6 @@
1 1
 Tutorial Adaptive
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 =================
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-.. warning::
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-    This documentation is not functional yet! Whenever
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-    `this Pull Request <https://github.com/jupyter-widgets/jupyter-sphinx/pull/22/>`__.
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-    is done, the documentation will be correctly build.
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-
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 `Adaptive <https://gitlab.kwant-project.org/qt/adaptive-evaluation>`__
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 is a package for adaptively sampling functions with support for parallel
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 evaluation.
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add tutorials

Bas Nijholt authored on 17/10/2018 13:30:10
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new file mode 100644
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@@ -0,0 +1,49 @@
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+Tutorial Adaptive
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+=================
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+
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+.. warning::
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+    This documentation is not functional yet! Whenever
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+    `this Pull Request <https://github.com/jupyter-widgets/jupyter-sphinx/pull/22/>`__.
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+    is done, the documentation will be correctly build.
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+
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+`Adaptive <https://gitlab.kwant-project.org/qt/adaptive-evaluation>`__
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+is a package for adaptively sampling functions with support for parallel
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+evaluation.
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+
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+This is an introductory notebook that shows some basic use cases.
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+
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+``adaptive`` needs at least Python 3.6, and the following packages:
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+
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+- ``scipy``
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+- ``sortedcontainers``
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+
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+Additionally ``adaptive`` has lots of extra functionality that makes it
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+simple to use from Jupyter notebooks. This extra functionality depends
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+on the following packages
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+
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+- ``ipykernel>=4.8.0``
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+- ``jupyter_client>=5.2.2``
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+- ``holoviews``
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+- ``bokeh``
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+- ``ipywidgets``
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+
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+
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+.. note::
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+    Because this documentation consists of static html, the ``live_plot``
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+    and ``live_info`` widget is not live. Download the notebooks
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+    in order to see the real behaviour.
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+
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+.. toctree::
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+    :hidden:
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+
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+    tutorial.Learner1D
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+    tutorial.Learner2D
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+    tutorial.custom_loss
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+    tutorial.AverageLearner
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+    tutorial.BalancingLearner
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+    tutorial.DataSaver
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+    tutorial.IntegratorLearner
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+    tutorial.LearnerND
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+    tutorial.SKOptLearner
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+    tutorial.parallelism
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+    tutorial.advanced-topics