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Docs: remove unneeded author attributions
These directives are not maintained and misleadingly indicate individual rather than community ownership. See python/docs-community#180 for discussion, and python/devguide#1740 for an update to the devguide.
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‎Doc/c-api/buffer.rst‎

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Buffer Protocol
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---------------
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.. sectionauthor:: Greg Stein <gstein@lyra.org>
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.. sectionauthor:: Benjamin Peterson
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.. sectionauthor:: Stefan Krah
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Certain objects available in Python wrap access to an underlying memory
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array or *buffer*. Such objects include the built-in :class:`bytes` and
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:class:`bytearray`, and some extension types like :class:`array.array`.

‎Doc/c-api/code.rst‎

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Code Objects
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------------
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.. sectionauthor:: Jeffrey Yasskin <jyasskin@gmail.com>
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Code objects are a low-level detail of the CPython implementation.
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Each one represents a chunk of executable code that hasn't yet been
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bound into a function.

‎Doc/c-api/init.rst‎

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Profiling and Tracing
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=====================
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.. sectionauthor:: Fred L. Drake, Jr. <fdrake@acm.org>
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The Python interpreter provides some low-level support for attaching profiling
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and execution tracing facilities. These are used for profiling, debugging, and
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coverage analysis tools.
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Advanced Debugger Support
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=========================
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.. sectionauthor:: Fred L. Drake, Jr. <fdrake@acm.org>
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These functions are only intended to be used by advanced debugging tools.
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Thread Local Storage Support
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============================
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.. sectionauthor:: Masayuki Yamamoto <ma3yuki.8mamo10@gmail.com>
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The Python interpreter provides low-level support for thread-local storage
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(TLS) which wraps the underlying native TLS implementation to support the
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Python-level thread local storage API (:class:`threading.local`). The

‎Doc/c-api/memory.rst‎

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Memory Management
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*****************
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.. sectionauthor:: Vladimir Marangozov <Vladimir.Marangozov@inrialpes.fr>
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.. _memoryoverview:
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Overview

‎Doc/c-api/set.rst‎

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Set Objects
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-----------
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.. sectionauthor:: Raymond D. Hettinger <python@rcn.com>
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.. index::
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pair: object; set
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pair: object; frozenset

‎Doc/c-api/typeobj.rst‎

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Number Object Structures
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------------------------
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.. sectionauthor:: Amaury Forgeot d'Arc
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.. c:type:: PyNumberMethods
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This structure holds pointers to the functions which an object uses to
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Mapping Object Structures
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.. c:type:: PyMappingMethods
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This structure holds pointers to the functions which an object uses to
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Sequence Object Structures
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--------------------------
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.. c:type:: PySequenceMethods
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This structure holds pointers to the functions which an object uses to
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Buffer Object Structures
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.. sectionauthor:: Greg J. Stein <greg@lyra.org>
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.. sectionauthor:: Benjamin Peterson
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.. c:type:: PyBufferProcs
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This structure holds pointers to the functions required by the
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Async Object Structures
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-----------------------
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.. sectionauthor:: Yury Selivanov <yselivanov@sprymix.com>
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.. versionadded:: 3.5
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.. c:type:: PyAsyncMethods

‎Doc/c-api/unicode.rst‎

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Unicode Objects and Codecs
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.. sectionauthor:: Marc-André Lemburg <mal@lemburg.com>
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.. sectionauthor:: Georg Brandl <georg@python.org>
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Unicode Objects
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^^^^^^^^^^^^^^^
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‎Doc/extending/extending.rst‎

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Providing a C API for an Extension Module
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=========================================
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.. sectionauthor:: Konrad Hinsen <hinsen@cnrs-orleans.fr>
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Many extension modules just provide new functions and types to be used from
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Python, but sometimes the code in an extension module can be useful for other
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extension modules. For example, an extension module could implement a type

‎Doc/extending/newtypes_tutorial.rst‎

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Defining Extension Types: Tutorial
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**********************************
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.. sectionauthor:: Michael Hudson <mwh@python.net>
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.. sectionauthor:: Dave Kuhlman <dkuhlman@rexx.com>
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.. sectionauthor:: Jim Fulton <jim@zope.com>
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Python allows the writer of a C extension module to define new types that
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can be manipulated from Python code, much like the built-in :class:`str`
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and :class:`list` types. The code for all extension types follows a

‎Doc/extending/windows.rst‎

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Differences Between Unix and Windows
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.. sectionauthor:: Chris Phoenix <cphoenix@best.com>
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Unix and Windows use completely different paradigms for run-time loading of
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code. Before you try to build a module that can be dynamically loaded, be aware
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of how your system works.
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Using DLLs in Practice
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======================
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.. sectionauthor:: Chris Phoenix <cphoenix@best.com>
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Windows Python is built in Microsoft Visual C++; using other compilers may or
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may not work. The rest of this section is MSVC++ specific.
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