Updated docs.

Author: hcpchris

CHANGES.rst

@@ -1,4 +1,4 @@
-Release 0.1.0
+Release 1.0.0-rc1
 =========================================
 
-* First public release
+* First public release: **Release Candidate 1**

docs/_contributors.rst

@@ -1 +1,2 @@
-* Chris Modzelewski (`@insightindustry <https://github.com/insightindustry>`_)
+* Chris Modzelewski (`@hcpchris <https://github.com/hcpchris>`__ / `@insightindustry <https://github.com/insightindustry>`__)
+* Erin Modzelewski (`@EBModz <https://github.com/EBModz>`__)

docs/toolkit.rst

@@ -7,8 +7,8 @@ The Toolkit's Contents
 ****************************
 
 The **Highcharts for Python** toolkit features a number of separate Python
-libraries which extend the core **Highcharts for Python** (``highcharts-core``) library.
-This pattern actually maps quite naturally to the Highcharts JS design, where multiple
+libraries which extend the core **Highcharts Core for Python** (``highcharts-core``) library.
+This pattern maps quite naturally to the Highcharts JS design, where multiple
 other modules extend the core Highcharts JS library.
 
 The **Highcharts for Python** toolkit includes two categories of tools:
@@ -18,24 +18,30 @@ The **Highcharts for Python** toolkit includes two categories of tools:
   .. tab:: Core Visualization Libraries
 
     These libraries correspond to each of the major Highcharts
-    `products <https://www.highcharts.com/blog/products/>`_:
+    `products <https://www.highcharts.com/products/>`__:
 
-    * **Highcharts for Python**: This is the foundational Python library, and is required
+    * **Highcharts Core for Python**: This is the foundational Python library, and is required
       by all other components in the toolkit. It provides the fundamental Python classes
       that are used throughout the toolkit, and importantly provides 100% coverage for the
       functionality in the
-      `Highcharts JS <https://www.highcharts.com/blog/products/#highcharts>`_ JavaScript
+      `Highcharts Core <https://www.highcharts.com/products/highcharts>`__ JavaScript
       library.
     * **Highcharts Stock for Python**: This is the Python wrapper for the
-      `Highcharts Stock <https://www.highcharts.com/blog/products/#highcharts-stock>`_
+      `Highcharts Stock <https://www.highcharts.com/products/stock>`__
       JavaScript library, which provides extensive visualizations for time series and
       stock price visualizations. For more details, please see the relevant
-      `Highcharts Stock for Python documentation <https://highcharts-stock.readthedocs.io>`_
+      `Highcharts Stock for Python documentation <https://highcharts-stock.readthedocs.io>`__
     * **Highcharts Maps for Python**: This is the Python wrapper for the
-      `Highcharts Maps <https://www.highcharts.com/blog/products/#highcharts-maps>`_
+      `Highcharts Maps <https://www.highcharts.com/products/maps>`__
       JavaScript library, which provides extensive geographic data visualization options
       with rich interactive maps. For more details, please see the relevant
-      `Highcharts Maps for Python documentation <https://highcharts-maps.readthedocs.io>`_
+      `Highcharts Maps for Python documentation <https://highcharts-maps.readthedocs.io>`__
+    * **Highcharts Gantt for Python**: This is the Python wrapper for the
+      `Highcharts Gantt <https://www.highcharts.com/products/gantt>`__
+      JavaScript library, which provides rich visualizations for resource allocation over
+      time. For more details, please see the relevant
+      `Highcharts Gantt for Python documentation <https://highcharts-gantt.readthedocs.io>`__
+
 
   .. tab:: Extensions
 
@@ -45,25 +51,7 @@ The **Highcharts for Python** toolkit includes two categories of tools:
 
     .. note::
 
-      The libraries below are in-progress, but have not yet been released.
-
-    * **Highcharts Gantt for Python**: This is the Python wrapper for the
-      `Highcharts Gantt <https://www.highcharts.com/blog/products/#highcharts>`_
-      JavaScript library, which provides rich visualizations for resource allocation over
-      time. For more details, please see the relevant
-      `Highcharts Gantt for Python documentation <https://highcharts-gantt.readthedocs.io>`_
-    * **Highcharts for Dash**: This is a set of components for the
-      `Dash <https://dash.plotly.com/>`_ data visualization framework which makes it easy
-      to use Highcharts visualizations in your Dash dashboards. For more details, please
-      see the relevant `Highcharts for Dash documentation <https://highcharts-dash.readthedocs.io>`_.
-    * **Flask-Highcharts**: This is an extension to the Flask microframework which makes
-      integrating Highcharts visualizations into Flask views super simple. For more
-      details, please see the relevant
-      `Flask-Highcharts documentation <https://flask-highcharts.readthedocs.io>`_.
-    * **Highcharts for Django**: This is an extension to the Django web framework which
-      makes utilizing Highcharts visualizations in your Django application super simple.
-      For more details, please see the
-      `Highcharts for Django documentation <https://highcharts-django.readthedocs.io>`_.
+      A number of extension libraries are in progress, but have not yet been released. Watch this space for news soon!
 
     .. note::
 
@@ -85,7 +73,11 @@ project project repo, the lists below provides some high-level information.
 
   .. tab:: Core Visualization Libraries
 
-    * Support for Explicit Defaults ( :issue:`1` ). Currently, Highcharts default values
+    * Needed Script Tags ( :issue:`12` ). It would be helpful for **Highcharts for Python**
+      to support the production of the relevant ``<script/>`` tags needed to include the
+      Highcharts JS modules that are needed to render a specific chart (and to *not*
+      include the modules that are not needed).
+    * Support for Explicit Defaults ( :issue:`13` ). Currently, Highcharts default values
       are always presented as :obj:`None <python:None>` in outputs within Python, and are
       stripped from the serialized JSON or JS literal representation of all objects
       (because that way the Highcharts JS library applies its default). While this is
@@ -95,21 +87,14 @@ project project repo, the lists below provides some high-level information.
       Zen of Python spirit that "explicit is better than implicit", there needs to be a
       mechanism for users of the library to *explicitly* request that default values are
       accessible in Python and shown when serializing the chart configuration.
-    * Needed Script Tags ( :issue:`2` ). It would be helpful for **Highcharts for Python**
-      to support the production of the relevant ``<script/>`` tags needed to include the
-      Highcharts JS modules that are needed to render a specific chart (and to *not*
-      include the modules that are not needed).
-    * Styled Mode Configuration ( :issue:`7` ). While :term:`styled mode` can currently be
+    * Styled Mode Configuration ( :issue:`14` ). While :term:`styled mode` can currently be
       enabled in **Highcharts for Python**, the library does not provide for the actual
       definition or configuration of Highcharts CSS. It would be good if it did, so that
       all Highcharts-related configuration could be handled within the library.
 
   .. tab:: Extensions
 
-    * Implement and release **Highcharts Gantt for Python** ( :issue:`6` ).
-    * Implement and release **Highcharts for Dash** ( :issue:`3` ).
-    * Implement and release **Flask-Highcharts** ( :issue:`4` ).
-    * Implement and release **Highcharts for Django** ( :issue:`5` ).
+    * Watch this space...we'll be announcing some new extensions soon.
 
 ********************************
 Additional Tools Needed?