gh-96959: Update HTTP links which are redirected to HTTPS (GH-96961)

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Serhiy Storchaka 2022-09-24 14:38:53 +03:00 committed by GitHub
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24 changed files with 63 additions and 63 deletions

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@ -127,7 +127,7 @@ thoughts in mind:
.. seealso::
* `Sorted Collections
<http://www.grantjenks.com/docs/sortedcollections/>`_ is a high performance
<https://grantjenks.com/docs/sortedcollections/>`_ is a high performance
module that uses *bisect* to managed sorted collections of data.
* The `SortedCollection recipe

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@ -114,7 +114,7 @@ reset them before monitoring a calculation.
.. seealso::
* IBM's General Decimal Arithmetic Specification, `The General Decimal Arithmetic
Specification <http://speleotrove.com/decimal/decarith.html>`_.
Specification <https://speleotrove.com/decimal/decarith.html>`_.
.. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

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@ -614,7 +614,7 @@ Supported mailbox formats are Maildir, mbox, MH, Babyl, and MMDF.
.. seealso::
`nmh - Message Handling System <http://www.nongnu.org/nmh/>`_
`nmh - Message Handling System <https://www.nongnu.org/nmh/>`_
Home page of :program:`nmh`, an updated version of the original :program:`mh`.
`MH & nmh: Email for Users & Programmers <https://rand-mh.sourceforge.io/book/>`_

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@ -125,7 +125,7 @@ instances::
The following example demonstrates a practical use of the :class:`SharedMemory`
class with `NumPy arrays <https://www.numpy.org/>`_, accessing the
class with `NumPy arrays <https://numpy.org/>`_, accessing the
same ``numpy.ndarray`` from two distinct Python shells:
.. doctest::

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@ -90,7 +90,7 @@ Comparison with ``json``
^^^^^^^^^^^^^^^^^^^^^^^^
There are fundamental differences between the pickle protocols and
`JSON (JavaScript Object Notation) <http://json.org>`_:
`JSON (JavaScript Object Notation) <https://json.org>`_:
* JSON is a text serialization format (it outputs unicode text, although
most of the time it is then encoded to ``utf-8``), while pickle is

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@ -566,14 +566,14 @@ Simulation of arrival times and service deliveries for a multiserver queue::
including simulation, sampling, shuffling, and cross-validation.
`Economics Simulation
<http://nbviewer.jupyter.org/url/norvig.com/ipython/Economics.ipynb>`_
<https://nbviewer.jupyter.org/url/norvig.com/ipython/Economics.ipynb>`_
a simulation of a marketplace by
`Peter Norvig <http://norvig.com/bio.html>`_ that shows effective
use of many of the tools and distributions provided by this module
(gauss, uniform, sample, betavariate, choice, triangular, and randrange).
`A Concrete Introduction to Probability (using Python)
<http://nbviewer.jupyter.org/url/norvig.com/ipython/Probability.ipynb>`_
<https://nbviewer.jupyter.org/url/norvig.com/ipython/Probability.ipynb>`_
a tutorial by `Peter Norvig <http://norvig.com/bio.html>`_ covering
the basics of probability theory, how to write simulations, and
how to perform data analysis using Python.