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gh-96959: Update more HTTP links (GH-97536)
Use HTTPS for documents which are available by both HTTP and HTTPS links, but there is no redirection from HTTP to HTTPS or vice versa.
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Doc/faq/extending.rst

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currently exists, you can try wrapping the library's data types and functions
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with a tool such as `SWIG <https://www.swig.org>`_. `SIP
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<https://riverbankcomputing.com/software/sip/intro>`__, `CXX
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<http://cxx.sourceforge.net/>`_ `Boost
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<https://cxx.sourceforge.net/>`_ `Boost
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<https://www.boost.org/libs/python/doc/index.html>`_, or `Weave
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<https://github.com/scipy/weave>`_ are also
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alternatives for wrapping C++ libraries.

Doc/faq/general.rst

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different companies and organizations.
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High-profile Python projects include `the Mailman mailing list manager
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<http://www.list.org>`_ and `the Zope application server
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<https://www.list.org>`_ and `the Zope application server
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<https://www.zope.dev>`_. Several Linux distributions, most notably `Red Hat
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<https://www.redhat.com>`_, have written part or all of their installer and
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system administration software in Python. Companies that use Python internally

Doc/faq/gui.rst

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To get truly stand-alone applications, the Tcl scripts that form the library
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have to be integrated into the application as well. One tool supporting that is
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SAM (stand-alone modules), which is part of the Tix distribution
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(http://tix.sourceforge.net/).
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(https://tix.sourceforge.net/).
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Build Tix with SAM enabled, perform the appropriate call to
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:c:func:`Tclsam_init`, etc. inside Python's

Doc/faq/library.rst

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The :mod:`pydoc` module can create HTML from the doc strings in your Python
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source code. An alternative for creating API documentation purely from
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docstrings is `epydoc <http://epydoc.sourceforge.net/>`_. `Sphinx
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docstrings is `epydoc <https://epydoc.sourceforge.net/>`_. `Sphinx
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<https://www.sphinx-doc.org>`_ can also include docstring content.
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Doc/faq/programming.rst

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as a part of the
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`ActivePython <https://www.activestate.com/products/python/>`_ distribution.
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`Eric <http://eric-ide.python-projects.org/>`_ is an IDE built on PyQt
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`Eric <https://eric-ide.python-projects.org/>`_ is an IDE built on PyQt
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and the Scintilla editing component.
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`trepan3k <https://github.com/rocky/python3-trepan/>`_ is a gdb-like debugger.
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* `PyOxidizer <https://pyoxidizer.readthedocs.io/en/stable/>`_ (Cross-platform)
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* `cx_Freeze <https://marcelotduarte.github.io/cx_Freeze/>`_ (Cross-platform)
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* `py2app <https://github.com/ronaldoussoren/py2app>`_ (macOS only)
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* `py2exe <http://www.py2exe.org/>`_ (Windows only)
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* `py2exe <https://www.py2exe.org/>`_ (Windows only)
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Are there coding standards or a style guide for Python programs?
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----------------------------------------------------------------

Doc/library/ast.rst

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code that generated them. This is helpful for tools that make source code
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transformations.
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`leoAst.py <http://leoeditor.com/appendices.html#leoast-py>`_ unifies the
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`leoAst.py <https://leoeditor.com/appendices.html#leoast-py>`_ unifies the
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token-based and parse-tree-based views of python programs by inserting
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two-way links between tokens and ast nodes.
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Doc/library/json.rst

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.. note::
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JSON is a subset of `YAML <http://yaml.org/>`_ 1.2. The JSON produced by
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JSON is a subset of `YAML <https://yaml.org/>`_ 1.2. The JSON produced by
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this module's default settings (in particular, the default *separators*
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value) is also a subset of YAML 1.0 and 1.1. This module can thus also be
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used as a YAML serializer.

Doc/library/mailbox.rst

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.. seealso::
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`maildir man page from Courier <http://www.courier-mta.org/maildir.html>`_
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`maildir man page from Courier <https://www.courier-mta.org/maildir.html>`_
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A specification of the format. Describes a common extension for
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supporting folders.
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Doc/library/random.rst

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`Economics Simulation
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<https://nbviewer.jupyter.org/url/norvig.com/ipython/Economics.ipynb>`_
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a simulation of a marketplace by
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`Peter Norvig <http://norvig.com/bio.html>`_ that shows effective
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`Peter Norvig <https://norvig.com/bio.html>`_ that shows effective
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use of many of the tools and distributions provided by this module
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(gauss, uniform, sample, betavariate, choice, triangular, and randrange).
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`A Concrete Introduction to Probability (using Python)
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<https://nbviewer.jupyter.org/url/norvig.com/ipython/Probability.ipynb>`_
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a tutorial by `Peter Norvig <http://norvig.com/bio.html>`_ covering
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a tutorial by `Peter Norvig <https://norvig.com/bio.html>`_ covering
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the basics of probability theory, how to write simulations, and
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how to perform data analysis using Python.
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Doc/library/tkinter.rst

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.. seealso::
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* `TkDocs <http://tkdocs.com/>`_
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* `TkDocs <https://tkdocs.com/>`_
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Extensive tutorial on creating user interfaces with Tkinter. Explains key concepts,
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and illustrates recommended approaches using the modern API.
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