Fixed links in README.rst

README.rst

@@ -42,12 +42,12 @@ Features
 **Overview**
 
 * Lets you build data structures that both contain and visualize your data.
-* Includes a rich `library of composable elements <https://ioam.github.io/holoviews/Tutorials/Elements>`_ that can be overlaid, nested and positioned with ease.
-* Supports `rapid data exploration <https://ioam.github.io/holoviews/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>`_ 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>`_.
 * You can create complex animated or interactive visualizations with minimal code.
-* Rich semantics for `indexing and slicing of data in arbitrarily high-dimensional spaces <https://ioam.github.io/holoviews/Tutorials/Transforming_Data>`_.
+* Rich semantics for `indexing and slicing of data in arbitrarily high-dimensional spaces <http://www.holoviews.org/Tutorials/Transforming_Data>`_.
 * Every parameter of every object includes easy-to-access documentation.
-* All features `available in vanilla Python 2 or 3 <https://ioam.github.io/holoviews/Tutorials/Options>`_, with minimal dependencies.
+* All features `available in vanilla Python 2 or 3 <http://www.holoviews.org/Tutorials/Options>`_, with minimal dependencies.
 
 **Support for maintainable, reproducible research**
 
@@ -56,12 +56,12 @@ 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 <https://ioam.github.io/holoviews/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>`_ 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 <https://ioam.github.io/holoviews/Tutorials/Transforming_Data>`_ regions of your data, no matter how high the dimensionality.
+* Easily `slice and access <http://www.holoviews.org/Tutorials/Transforming_Data>`_ 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.
@@ -71,7 +71,7 @@ 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  <https://ioam.github.io/holoviews/Tutorials/Exploring_Data>`_ instead of hours or days.
+* Build `complex animations or interactive visualizations in seconds  <http://www.holoviews.org/Tutorials/Exploring_Data>`_ 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.
@@ -83,11 +83,11 @@ 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 <https://ioam.github.io/holoviews/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>`_, 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 <https://ioam.github.io/holoviews/Tutorials/Pandas_Seaborn>`_
+* Flexible interface to both the `pandas and Seaborn libraries <http://www.holoviews.org/Tutorials/Pandas_Seaborn>`_
 * Immediately visualize pandas data as any HoloViews object.
 * Seamlessly combine and animate your Seaborn plots in HoloViews rich, compositional data-structures.