Commit c5dc7028 authored by Art Pelling's avatar Art Pelling
Browse files

change external doc urls to https

parent cb787bae
......@@ -102,13 +102,13 @@ parameter values which maximises reduction error.
In the following we will walk through the thermal block demo step by
step in an interactive Python shell. We assume that you are familiar
with the reduced basis method and that you know the basics of
[Python](<http://www.python.org>) programming as well as working
[Python](<https://www.python.org>) programming as well as working
with {{ NumPy }}. (Note that our code will differ a bit from
`thermalblock.py` as we will hardcode the various options the script
offers and leave out some features.)
First, start a Python shell. We recommend using
[IPython](<http://ipython.org>)
[IPython](<https://ipython.org>)
```
ipython
......
......@@ -26,7 +26,7 @@ FEniCS and deal.II support
pyMOR now includes wrapper classes for integrating PDE solvers
written with the `dolfin` library of the `FEniCS <https://fenicsproject.org>`_
project. For a usage example, see :meth:`pymordemos.thermalblock_simple.discretize_fenics`.
Experimental support for `deal.II <http://dealii.org>`_ can be
Experimental support for `deal.II <https://dealii.org>`_ can be
found in the `pymor-deal.II <https://github.com/pymor/pymor-deal.II>`_
repository of the pyMOR GitHub organization.
......
......@@ -203,7 +203,7 @@ Creating Models
pyMOR ships a small (and still quite incomplete) framework for creating finite
element or finite volume discretizations based on the `NumPy/Scipy
<http://scipy.org>`_ software stack. To end up with an appropriate
<https://scipy.org>`_ software stack. To end up with an appropriate
|Model|, one starts by instantiating an |analytical problem| which
describes the problem we want to discretize. |analytical problems| contain
|Functions| which define the analytical data functions associated with the
......
......@@ -163,7 +163,7 @@ construct the right-hand side vector for our problem.
This completes the {download}`model.cc <minimal_cpp_demo/model.cc>`.
This extension module needs to be compiled to a shared object that the Python interpreter can import.
We use a minimal [CMake](<http://cmake.org/>) project that generates makefiles for us to achieve this.
We use a minimal [CMake](<https://cmake.org/>) project that generates makefiles for us to achieve this.
First we make sure pybind11 can be used:
......
......@@ -5,7 +5,7 @@
"""Visualization of grid data using Qt.
This module provides a few methods and classes for visualizing data
associated to grids. We use the `Qt <http://www.qt-project.org>`_ widget
associated to grids. We use the `Qt <https://www.qt-project.org>`_ widget
toolkit for the GUI.
"""
from pymor.core.config import config
......
......@@ -3,7 +3,7 @@
# License: BSD 2-Clause License (https://opensource.org/licenses/BSD-2-Clause)
# The following implementation is based on
# http://code.activestate.com/recipes/414283-frozen-dictionaries/
# https://code.activestate.com/recipes/414283-frozen-dictionaries/
class FrozenDict(dict):
......
......@@ -1815,7 +1815,7 @@ def do_setup():
except EnvironmentError:
pass
# That doesn't cover everything MANIFEST.in can do
# (http://docs.python.org/2/distutils/sourcedist.html#commands), so
# (https://docs.python.org/2/distutils/sourcedist.html#commands), so
# it might give some false negatives. Appending redundant 'include'
# lines is safe, though.
if "versioneer.py" not in simple_includes:
......
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