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authorMike Toews <mwtoews@gmail.com>2018-06-16 18:18:19 +1200
committerMike Toews <mwtoews@gmail.com>2018-06-16 18:18:19 +1200
commit83828f52b287fefb3d8753a21bd3441997a4d687 (patch)
treef62c5aa84a9db02f3b6460e66b56cd299e4a794f /numpy/doc
parentbf4a3e59b0cfb1e999845dc5228dfa1f54851b9f (diff)
downloadnumpy-83828f52b287fefb3d8753a21bd3441997a4d687.tar.gz
HTTP -> HTTPS, and other linkrot fixes
Diffstat (limited to 'numpy/doc')
-rw-r--r--numpy/doc/broadcasting.py2
-rw-r--r--numpy/doc/glossary.py6
-rw-r--r--numpy/doc/misc.py2
-rw-r--r--numpy/doc/subclassing.py2
4 files changed, 6 insertions, 6 deletions
diff --git a/numpy/doc/broadcasting.py b/numpy/doc/broadcasting.py
index 717914cda..1dc4f60bf 100644
--- a/numpy/doc/broadcasting.py
+++ b/numpy/doc/broadcasting.py
@@ -171,7 +171,7 @@ Here the ``newaxis`` index operator inserts a new axis into ``a``,
making it a two-dimensional ``4x1`` array. Combining the ``4x1`` array
with ``b``, which has shape ``(3,)``, yields a ``4x3`` array.
-See `this article <http://wiki.scipy.org/EricsBroadcastingDoc>`_
+See `this article <https://scipy.github.io/old-wiki/pages/EricsBroadcastingDoc>`_
for illustrations of broadcasting concepts.
"""
diff --git a/numpy/doc/glossary.py b/numpy/doc/glossary.py
index 0e1df495b..a3b9423a8 100644
--- a/numpy/doc/glossary.py
+++ b/numpy/doc/glossary.py
@@ -69,7 +69,7 @@ Glossary
micro-processors and used for transmission of data over network protocols.
BLAS
- `Basic Linear Algebra Subprograms <http://en.wikipedia.org/wiki/BLAS>`_
+ `Basic Linear Algebra Subprograms <https://en.wikipedia.org/wiki/Basic_Linear_Algebra_Subprograms>`_
broadcast
NumPy can do operations on arrays whose shapes are mismatched::
@@ -155,7 +155,7 @@ Glossary
be used as keys.
For more information on dictionaries, read the
- `Python tutorial <http://docs.python.org/tut>`_.
+ `Python tutorial <https://docs.python.org/tutorial/>`_.
field
In a :term:`structured data type`, each sub-type is called a `field`.
@@ -238,7 +238,7 @@ Glossary
[3, 4]])
For more information, read the section on lists in the `Python
- tutorial <http://docs.python.org/tut>`_. For a mapping
+ tutorial <https://docs.python.org/tutorial/>`_. For a mapping
type (key-value), see *dictionary*.
little-endian
diff --git a/numpy/doc/misc.py b/numpy/doc/misc.py
index 24369871c..a76abe164 100644
--- a/numpy/doc/misc.py
+++ b/numpy/doc/misc.py
@@ -209,7 +209,7 @@ Only a survey of the choices. Little detail on how each works.
Interfacing to Fortran:
-----------------------
The clear choice to wrap Fortran code is
-`f2py <http://docs.scipy.org/doc/numpy/f2py/>`_.
+`f2py <https://docs.scipy.org/doc/numpy/f2py/>`_.
Pyfort is an older alternative, but not supported any longer.
Fwrap is a newer project that looked promising but isn't being developed any
diff --git a/numpy/doc/subclassing.py b/numpy/doc/subclassing.py
index 3be3d94b3..4b983893a 100644
--- a/numpy/doc/subclassing.py
+++ b/numpy/doc/subclassing.py
@@ -108,7 +108,7 @@ A brief Python primer on ``__new__`` and ``__init__``
``__new__`` is a standard Python method, and, if present, is called
before ``__init__`` when we create a class instance. See the `python
__new__ documentation
-<http://docs.python.org/reference/datamodel.html#object.__new__>`_ for more detail.
+<https://docs.python.org/reference/datamodel.html#object.__new__>`_ for more detail.
For example, consider the following Python code: