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+.. _tutorial-index:
+
+######################
+  The Python tutorial 
+######################
+
+:Release: |version|
+:Date: |today|
+
+Python is an easy to learn, powerful programming language. It has efficient
+high-level data structures and a simple but effective approach to
+object-oriented programming. Python's elegant syntax and dynamic typing,
+together with its interpreted nature, make it an ideal language for scripting
+and rapid application development in many areas on most platforms.
+
+The Python interpreter and the extensive standard library are freely available
+in source or binary form for all major platforms from the Python Web site,
+http://www.python.org/, and may be freely distributed. The same site also
+contains distributions of and pointers to many free third party Python modules,
+programs and tools, and additional documentation.
+
+The Python interpreter is easily extended with new functions and data types
+implemented in C or C++ (or other languages callable from C). Python is also
+suitable as an extension language for customizable applications.
+
+This tutorial introduces the reader informally to the basic concepts and
+features of the Python language and system. It helps to have a Python
+interpreter handy for hands-on experience, but all examples are self-contained,
+so the tutorial can be read off-line as well.
+
+For a description of standard objects and modules, see the Python Library
+Reference document. The Python Reference Manual gives a more formal definition
+of the language. To write extensions in C or C++, read Extending and Embedding
+the Python Interpreter and Python/C API Reference. There are also several books
+covering Python in depth.
+
+This tutorial does not attempt to be comprehensive and cover every single
+feature, or even every commonly used feature. Instead, it introduces many of
+Python's most noteworthy features, and will give you a good idea of the
+language's flavor and style. After reading it, you will be able to read and
+write Python modules and programs, and you will be ready to learn more about the
+various Python library modules described in the Python Library Reference.
+
+.. toctree::
+
+   appetite.rst
+   interpreter.rst
+   introduction.rst
+   controlflow.rst
+   datastructures.rst
+   modules.rst
+   inputoutput.rst
+   errors.rst
+   classes.rst
+   stdlib.rst
+   stdlib2.rst
+   whatnow.rst
+   interactive.rst
+   floatingpoint.rst
+   glossary.rst