Excise RTD

README.rst

@@ -29,13 +29,13 @@ Contributing tutorial material
 ------------------------------
 
 Please see the "`For contributors
-<http://astropy-tutorials.readthedocs.io/en/latest/#for-contributors>`_" section
+<http://www.astropy.org/astropy-tutorials/#for-contributors>`_" section
 of the tutorials documentation for information on how to get started.
 
 
 Tutorial infrastructure
 -----------------------
 
 For more information on the infrastructure that builds the tutorials, see the
-`infrastructure/developer <http://astropy-tutorials.readthedocs.io/en/latest/dev.html>`_
+`infrastructure/developer <http://www.astropy.org/astropy-tutorials/dev.html#dev-page>`_
 section of the tutorials documentation.

tutorials/dev.rst

@@ -22,10 +22,10 @@ We use our own run-and-convert machinery using ``nbconvert``. We use the same
 script that converts the notebooks to RST to test the notebooks on travis by
 simply executing the notebooks and ignoring the output.
 
-We use `readthedocs <http://rtfd.io>`_ to do the Sphinx build, which is what
-allows us to preserve the version history of the tutorials. The notebooks are
-first converted to RST files during the Sphinx build by doing the conversion
-at the end of the `Sphinx configuration file
+We use `CircleCI <https://circleci.com>`_ to do the Sphinx build, which is then
+pushed to the ``gh-pages`` branch of the repository and served by GitHub. The
+notebooks are first converted to RST files during the Sphinx build by doing the
+conversion at the end of the `Sphinx configuration file
 <https://github.com/astropy/astropy-tutorials/blob/master/tutorials/conf.py>`_.
 
 Why not use nbsphinx?

tutorials/notebooks/User-Defined-Model/User-Defined-Model.ipynb

@@ -15,7 +15,7 @@
     "    * Compound models\n",
     "    * Custom models\n",
     "\n",
-    "This tutorial assumes the student knows how to fit data using `astropy.modeling`. This topic is covered in the [Models-Quick-Fit tutorial](https://astropy-tutorials.readthedocs.io/en/latest/rst-tutorials/Models-Quick-Fit.html).\n",
+    "This tutorial assumes the student knows how to fit data using `astropy.modeling`. This topic is covered in the [Models-Quick-Fit tutorial](http://www.astropy.org/astropy-tutorials/rst-tutorials/Models-Quick-Fit.html).\n",
     "\n",
     "## Keywords\n",
     "Modeling, User Defined Model, Custom Models, Compound Models \n",
@@ -207,7 +207,7 @@
     "\n",
     "Now, we would like to measure the height of this line. Let's use `astropy.modeling` to fit a gaussian to the $H\\alpha$ line. We are going to initialize a gaussian model at the position of the $H\\alpha$ line. The idea is that the gaussian amplitude will tell us the height of the line.\n",
     "\n",
-    "We are going to go quickly over this part of the tutorial because it involves fitting with `astropy.modeling` and this was explained in the [Models-Quick-Fit tutorial](https://astropy-tutorials.readthedocs.io/en/latest/rst-tutorials/Models-Quick-Fit.html). "
+    "We are going to go quickly over this part of the tutorial because it involves fitting with `astropy.modeling` and this was explained in the [Models-Quick-Fit tutorial](http://www.astropy.org/astropy-tutorials/rst-tutorials/Models-Quick-Fit.html). "
    ]
   },
   {
@@ -856,7 +856,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python [default]",
    "language": "python",
    "name": "python3"
   },

tutorials/notebooks/units-and-integration/units-and-integration.ipynb

@@ -24,7 +24,7 @@
     "\n",
     "## Companion Content\n",
     "* http://synphot.readthedocs.io/en/latest/\n",
-    "* [Using Astropy Quantities for astrophysical calculations](http://astropy-tutorials.readthedocs.io/en/latest/rst-tutorials/quantities.html)\n",
+    "* [Using Astropy Quantities for astrophysical calculations](http://www.astropy.org/astropy-tutorials/rst-tutorials/quantities.html)\n",
     "\n",
     "## Summary\n",
     "In this tutorial, we will use the examples of the Planck function and the stellar initial mass function (IMF) to illustrate how to integrate numerically, using the trapezoidal approximation and Gaussian quadrature. We will also explore making a custom class, an instance of which is callable in the same way as a function. In addition, we will encounter `astropy`'s built-in units, and get a first taste of how to convert between them. Finally, we will use $\\LaTeX$ to make our figure axis labels easy to read."
@@ -337,7 +337,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python [default]",
    "language": "python",
    "name": "python3"
   },
@@ -351,7 +351,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,