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Issue #26736: Used HTTPS for external links in the documentation if possible.
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66 changed files with 140 additions and 138 deletions
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@ -155,7 +155,7 @@ which implements arithmetic based on rational numbers (so the numbers like
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If you are a heavy user of floating point operations you should take a look
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at the Numerical Python package and many other packages for mathematical and
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statistical operations supplied by the SciPy project. See <http://scipy.org>.
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statistical operations supplied by the SciPy project. See <https://scipy.org>.
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Python provides tools that may help on those rare occasions when you really
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*do* want to know the exact value of a float. The
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@ -49,6 +49,6 @@ into other applications. Another similar enhanced interactive environment is
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bpython_.
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.. _GNU Readline: http://tiswww.case.edu/php/chet/readline/rltop.html
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.. _GNU Readline: https://tiswww.case.edu/php/chet/readline/rltop.html
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.. _IPython: http://ipython.scipy.org/
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.. _bpython: http://www.bpython-interpreter.org/
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@ -152,7 +152,7 @@ The :mod:`statistics` module calculates basic statistical properties
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>>> statistics.variance(data)
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1.3720238095238095
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The SciPy project <http://scipy.org> has many other modules for numerical
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The SciPy project <https://scipy.org> has many other modules for numerical
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computations.
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.. _tut-internet-access:
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@ -43,7 +43,7 @@ More Python resources:
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for download. Once you begin releasing code, you can register it here so that
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others can find it.
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* http://code.activestate.com/recipes/langs/python/: The Python Cookbook is a
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* https://code.activestate.com/recipes/langs/python/: The Python Cookbook is a
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sizable collection of code examples, larger modules, and useful scripts.
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Particularly notable contributions are collected in a book also titled Python
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Cookbook (O'Reilly & Associates, ISBN 0-596-00797-3.)
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@ -51,7 +51,7 @@ More Python resources:
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* http://www.pyvideo.org collects links to Python-related videos from
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conferences and user-group meetings.
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* http://scipy.org: The Scientific Python project includes modules for fast
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* https://scipy.org: The Scientific Python project includes modules for fast
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array computations and manipulations plus a host of packages for such
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things as linear algebra, Fourier transforms, non-linear solvers,
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random number distributions, statistical analysis and the like.
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