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Issue #26736: Used HTTPS for external links in the documentation if possible.

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Serhiy Storchaka 2016-05-07 10:49:07 +03:00
parent 64099ea58e
commit 6dff0205b7
66 changed files with 140 additions and 138 deletions
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2
Doc/tutorial/floatingpoint.rst
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@ -155,7 +155,7 @@ which implements arithmetic based on rational numbers (so the numbers like
If you are a heavy user of floating point operations you should take a look
at the Numerical Python package and many other packages for mathematical and
statistical operations supplied by the SciPy project. See <http://scipy.org>.
statistical operations supplied by the SciPy project. See <https://scipy.org>.
Python provides tools that may help on those rare occasions when you really
*do* want to know the exact value of a float. The

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Doc/tutorial/interactive.rst
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@ -49,6 +49,6 @@ into other applications. Another similar enhanced interactive environment is
bpython_.
.. _GNU Readline: http://tiswww.case.edu/php/chet/readline/rltop.html
.. _GNU Readline: https://tiswww.case.edu/php/chet/readline/rltop.html
.. _IPython: http://ipython.scipy.org/
.. _bpython: http://www.bpython-interpreter.org/

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Doc/tutorial/stdlib.rst
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@ -152,7 +152,7 @@ The :mod:`statistics` module calculates basic statistical properties
>>> statistics.variance(data)
1.3720238095238095
The SciPy project <http://scipy.org> has many other modules for numerical
The SciPy project <https://scipy.org> has many other modules for numerical
computations.
.. _tut-internet-access:

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Doc/tutorial/whatnow.rst
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@ -43,7 +43,7 @@ More Python resources:
for download. Once you begin releasing code, you can register it here so that
others can find it.
* http://code.activestate.com/recipes/langs/python/: The Python Cookbook is a
* https://code.activestate.com/recipes/langs/python/: The Python Cookbook is a
sizable collection of code examples, larger modules, and useful scripts.
Particularly notable contributions are collected in a book also titled Python
Cookbook (O'Reilly & Associates, ISBN 0-596-00797-3.)
@ -51,7 +51,7 @@ More Python resources:
* http://www.pyvideo.org collects links to Python-related videos from
conferences and user-group meetings.
* http://scipy.org: The Scientific Python project includes modules for fast
* https://scipy.org: The Scientific Python project includes modules for fast
array computations and manipulations plus a host of packages for such
things as linear algebra, Fourier transforms, non-linear solvers,
random number distributions, statistical analysis and the like.