Remove unneeded "Release" and "Date" markers from doc index pages.
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Python/C API Reference Manual
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##################################
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:Release: |version|
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:Date: |today|
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This manual documents the API used by C and C++ programmers who want to write
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extension modules or embed Python. It is a companion to :ref:`extending-index`,
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which describes the general principles of extension writing but does not
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:Authors: Greg Ward, Anthony Baxter
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:Email: distutils-sig@python.org
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:Release: |version|
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:Date: |today|
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This document describes the Python Distribution Utilities ("Distutils") from
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the module developer's point of view, describing how to use the Distutils to
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Extending and Embedding the Python Interpreter
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##################################################
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:Release: |version|
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:Date: |today|
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This document describes how to write modules in C or C++ to extend the Python
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interpreter with new modules. Those modules can define new functions but also
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new object types and their methods. The document also describes how to embed
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Python Frequently Asked Questions
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###################################
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:Release: |version|
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:Date: |today|
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.. toctree::
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:maxdepth: 1
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*****************************
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:Author: Greg Ward
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:Release: |version|
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:Date: |today|
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.. TODO: Fill in XXX comments
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The Python Standard Library
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###############################
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:Release: |version|
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:Date: |today|
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While :ref:`reference-index` describes the exact syntax and
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semantics of the Python language, this library reference manual
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describes the standard library that is distributed with Python. It also
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The Python Language Reference
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#################################
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:Release: |version|
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:Date: |today|
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This reference manual describes the syntax and "core semantics" of the
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language. It is terse, but attempts to be exact and complete. The semantics of
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non-essential built-in object types and of the built-in functions and modules
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The Python Tutorial
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######################
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:Release: |version|
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:Date: |today|
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Python is an easy to learn, powerful programming language. It has efficient
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high-level data structures and a simple but effective approach to
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object-oriented programming. Python's elegant syntax and dynamic typing,
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