Merge pull request #1280 from ioam/remove_transforming_data_references

Remove links to transforming data page

README.rst

@@ -24,7 +24,7 @@ Or clone holoviews directly from GitHub with::
 
    git clone git://github.com/ioam/holoviews.git
 
-Please visit `our website <http://ioam.github.com/holoviews/>`_
+Please visit `our website <http://holoviews.org>`_
 for official releases, installation instructions, documentation,
 and many detailed `example notebooks and tutorials
 <http://holoviews.org/Tutorials>`_. Additional user contributed
@@ -35,9 +35,9 @@ including examples that may be run live on `mybinder.org
 
 
 For general discussion, we have a `gitter channel
-<https://gitter.im/ioam/holoviews>`_.  In addition we have a
-`wiki page
-<https://github.com/ioam/holoviews/wiki/Experimental-Features>`_
+<https://gitter.im/ioam/holoviews>`_.  In addition we have
+`a user-contributed wiki
+<https://github.com/ioam/holoviews-contrib/wiki>`_
 describing current work-in-progress and experimental features. If
 you find any bugs or have any feature suggestions please file a
 GitHub Issue or submit a pull request.
@@ -48,12 +48,12 @@ Features
 **Overview**
 
 * Lets you build data structures that both contain and visualize your data.
-* Includes a rich `library of composable elements <http://www.holoviews.org/Tutorials/Elements>`_ that can be overlaid, nested and positioned with ease.
-* Supports `rapid data exploration <http://www.holoviews.org/Tutorials/Exploring_Data>`_ that naturally develops into a `fully reproducible workflow <Tutorials/Exporting>`_.
+* Includes a rich `library of composable elements <http://www.holoviews.org/Tutorials/Elements.html>`_ that can be overlaid, nested and positioned with ease.
+* Supports `rapid data exploration <http://www.holoviews.org/Tutorials/Exploring_Data.html>`_ that naturally develops into a `fully reproducible workflow <http://www.holoviews.org/Tutorials/Exporting.html>`_.
 * You can create complex animated or interactive visualizations with minimal code.
-* Rich semantics for `indexing and slicing of data in arbitrarily high-dimensional spaces <http://www.holoviews.org/Tutorials/Transforming_Data>`_.
+* Rich semantics for `indexing and slicing of data in arbitrarily high-dimensional spaces <http://www.holoviews.org/Tutorials/Sampling_Data.html>`_.
 * Every parameter of every object includes easy-to-access documentation.
-* All features `available in vanilla Python 2 or 3 <http://www.holoviews.org/Tutorials/Options>`_, with minimal dependencies.
+* All features `available in vanilla Python 2 or 3 <http://www.holoviews.org/Tutorials/Options.html>`_, with minimal dependencies.
 
 **Support for maintainable, reproducible research**
 
@@ -62,12 +62,12 @@ Features
 * All HoloViews objects can be pickled and unpickled.
 * Provides comparison utilities for testing, so you know when your results have changed and why.
 * Core data structures only depend on the numpy and param libraries.
-* Provides `export and archival facilities <http://www.holoviews.org/Tutorials/Exporting>`_ for keeping track of your work throughout the lifetime of a project.
+* Provides `export and archival facilities <http://www.holoviews.org/Tutorials/Exporting.html>`_ for keeping track of your work throughout the lifetime of a project.
 
 **Analysis and data access features**
 
 * Allows you to annotate your data with dimensions, units, labels and data ranges.
-* Easily `slice and access <http://www.holoviews.org/Tutorials/Transforming_Data>`_ regions of your data, no matter how high the dimensionality.
+* Easily `slice and access <http://www.holoviews.org/Tutorials/Sampling_Data.html>`_ regions of your data, no matter how high the dimensionality.
 * Apply any suitable function to collapse your data or reduce dimensionality.
 * Helpful textual representation to inform you how every level of your data may be accessed.
 * Includes small library of common operations for any scientific or engineering data.
@@ -77,7 +77,7 @@ Features
 
 * Useful default settings make it easy to inspect data, with minimal code.
 * Powerful normalization system to make understanding your data across plots easy.
-* Build `complex animations or interactive visualizations in seconds  <http://www.holoviews.org/Tutorials/Exploring_Data>`_ instead of hours or days.
+* Build `complex animations or interactive visualizations in seconds  <http://www.holoviews.org/Tutorials/Exploring_Data.html>`_ instead of hours or days.
 * Refine the visualization of your data interactively and incrementally.
 * Separation of concerns: all visualization settings are kept separate from your data objects.
 * Support for interactive tooltips/panning/zooming, via the optional mpld3 backend.
@@ -89,11 +89,11 @@ Features
 * Exportable sliders and scrubber widgets.
 * Automatic display of animated formats in the notebook or for export, including gif, webm, and mp4.
 * Useful IPython magics for configuring global display options and for customizing objects.
-* `Automatic archival and export of notebooks <http://www.holoviews.org/Tutorials/Exporting>`_, including extracting figures as SVG, generating a static HTML copy of your results for reference, and storing your optional metadata like version control information.
+* `Automatic archival and export of notebooks <http://www.holoviews.org/Tutorials/Exporting.html>`_, including extracting figures as SVG, generating a static HTML copy of your results for reference, and storing your optional metadata like version control information.
 
 **Integration with third-party libraries**  
 
-* Flexible interface to both the `pandas and Seaborn libraries <http://www.holoviews.org/Tutorials/Pandas_Seaborn>`_
+* Flexible interface to both the `pandas and Seaborn libraries <http://www.holoviews.org/Tutorials/Pandas_Seaborn.html>`_
 * Immediately visualize pandas data as any HoloViews object.
 * Seamlessly combine and animate your Seaborn plots in HoloViews rich, compositional data-structures.
 

doc/features.rst

@@ -8,7 +8,7 @@ ________
 * Includes a rich `library of composable elements <Tutorials/Elements.html>`_ that can be overlaid, nested, and positioned with ease.
 * Supports `rapid data exploration <Tutorials/Exploring_Data.html>`_ that naturally develops into a `fully reproducible workflow <Tutorials/Exporting.html>`_.
 * You can create complex animated or interactive visualizations with minimal code.
-* Rich semantics for `indexing and slicing of data in arbitrarily high-dimensional spaces <Tutorials/Transforming_Data.html>`_.
+* Rich semantics for `indexing and slicing of data in arbitrarily high-dimensional spaces <Tutorials/Sampling_Data.html>`_.
 * Every parameter of every object includes easy-to-access documentation.
 * All features `available in vanilla Python 2 or 3 <Tutorials/Options.html>`_, with minimal dependencies.
 * All examples on the website are tested automatically each night, using the latest version of the code.
@@ -25,7 +25,7 @@ ________
 **Analysis and data access features**
 
 * Allows you to annotate your data with dimensions, units, labels and data ranges.
-* Easily `slice and access <Tutorials/Transforming_Data.html>`_ regions of your data, no matter how high the dimensionality.
+* Easily `slice and access <Tutorials/Sampling_Data.html>`_ regions of your data, no matter how high the dimensionality.
 * Apply any suitable function to collapse your data or reduce dimensionality.
 * Helpful textual representation to inform you how every level of your data may be accessed.
 * Includes small library of common operations for any scientific or engineering data.