Merge pull request #40 from HowToThink/travis

Set up travis, fix build issues

.travis.yml

@@ -0,0 +1,11 @@
+language: python
+dist: xenial
+cache:
+  - pip
+install:
+  - pip install --upgrade -r requirements.txt
+script:
+  - mkdir build_html
+  - sphinx-build -nW -b html source build_html
+  - mkdir build_pdf
+  - sphinx-build -nW -b pdf source build_pdf

requirements.txt

@@ -0,0 +1 @@
+sphinx

source/PvL_E.rst

@@ -108,7 +108,7 @@ If the ``try`` block can fail if various way, you can handle different
 exceptions in the same ``try`` clause:
 
     .. sourcecode:: python3
-        :lineos:
+        :linenos:
 
         try:
             with open(filename) as infile:

source/PvL_F.rst

@@ -25,7 +25,7 @@ y     t     n
 Since the model predicts a parabola, we want to fit the data to this model to see how good it works. It might be a bit confusing, but :math:`h` is our x axis, and :math:`t` is the y axis.
 
 We use the ``symfit`` package to do our fitting. You can find the installation instructions `here
-<http://symfit.readthedocs.org/en/latest/installation.html>`_.
+<http://symfit.readthedocs.org/en/latest/installation.html>`__.
 
 To fit the data to the model we run the following code:
 
@@ -162,6 +162,6 @@ More on symfit
 
 There are a lot more features in ``symfit`` to help you on your quest to fitting
 the universe. You can find the tutorial `here
-<http://symfit.readthedocs.org/en/latest/tutorial.html>`_.
+<http://symfit.readthedocs.org/en/latest/tutorial.html>`__.
 
 It is recommended you read this as well before starting to fit your own data.

source/PvL_H.rst

@@ -140,7 +140,7 @@ that define the plotting style:
 
 The style strings, one per *x*--*y* pair, specify color and shape: 'rx' stands
 for red crosses, and 'b-.' stands for blue dash-point line. Check the
-`documentation <http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.plot>`_
+`documentation <http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.plot>`__
 of ``pyplot.plot`` for the list of colors and shapes.
 
 Finally, ``plt.plot`` can also, conveniently, take numpy arrays as its arguments.
@@ -152,7 +152,7 @@ More plots
 While ``plt.plot`` can satisfy basic plotting needs, ``matplotlib``
 provides many more plotting functions. Below we try out the ``plt.bar``
 function, for plotting bar charts. The full list of plotting functions can be found
-in the the ``matplotlib.pyplot`` `documentation <http://matplotlib.org/api/pyplot_api.html>`_.
+in the the ``matplotlib.pyplot`` `documentation <http://matplotlib.org/api/pyplot_api.html>`__.
 
 Bar charts can be plotted using ``plt.bar``, in a similar fashion to ``plt.plot``:
 
@@ -253,7 +253,7 @@ calling ``plt.savefig``:
 
     ..  note::
         When saving a plot, you'll want to choose a `vector format
-        <https://en.wikipedia.org/wiki/Vector_graphics>`_
+        <https://en.wikipedia.org/wiki/Vector_graphics>`__
         (either pdf, ps, eps, or svg). These are resolution-independent
         formats and will yield the best quality, even if printed at very
         large sizes. Saving as png should be avoided, and saving as jpg

source/conf.py

@@ -22,7 +22,7 @@
 
 # Add any Sphinx extension module names here, as strings. They can be extensions
 # coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
-extensions = ['sphinx.ext.pngmath']
+extensions = ['sphinx.ext.imgmath']
 
 # Add any paths that contain templates here, relative to this directory.
 templates_path = ['_templates']

source/index.rst

@@ -55,6 +55,7 @@ illustrated by Dario Mitchell
     PvL_E.rst
     PvL_F.rst
     PvL_G.rst
+    PvL_H.rst
 
 .. toctree::
     :maxdepth: 1