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annotate Doc/tutorial/index.rst @ 54294:dba767bc3155 legacy-trunk

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remove mention of old ctypes version
author Benjamin Peterson <benjamin@python.org>
date Sat, 23 May 2009 20:59:09 +0000
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1 .. _tutorial-index:
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3 ######################
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4 The Python Tutorial
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5 ######################
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6
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7 :Release: |version|
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8 :Date: |today|
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9
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10 Python is an easy to learn, powerful programming language. It has efficient
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11 high-level data structures and a simple but effective approach to
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12 object-oriented programming. Python's elegant syntax and dynamic typing,
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13 together with its interpreted nature, make it an ideal language for scripting
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14 and rapid application development in many areas on most platforms.
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15
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16 The Python interpreter and the extensive standard library are freely available
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17 in source or binary form for all major platforms from the Python Web site,
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18 http://www.python.org/, and may be freely distributed. The same site also
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19 contains distributions of and pointers to many free third party Python modules,
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20 programs and tools, and additional documentation.
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21
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22 The Python interpreter is easily extended with new functions and data types
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23 implemented in C or C++ (or other languages callable from C). Python is also
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24 suitable as an extension language for customizable applications.
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25
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26 This tutorial introduces the reader informally to the basic concepts and
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27 features of the Python language and system. It helps to have a Python
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28 interpreter handy for hands-on experience, but all examples are self-contained,
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29 so the tutorial can be read off-line as well.
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30
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31 For a description of standard objects and modules, see the Python Library
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32 Reference document. The Python Reference Manual gives a more formal definition
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33 of the language. To write extensions in C or C++, read Extending and Embedding
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34 the Python Interpreter and Python/C API Reference. There are also several books
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35 covering Python in depth.
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36
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37 This tutorial does not attempt to be comprehensive and cover every single
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38 feature, or even every commonly used feature. Instead, it introduces many of
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39 Python's most noteworthy features, and will give you a good idea of the
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40 language's flavor and style. After reading it, you will be able to read and
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41 write Python modules and programs, and you will be ready to learn more about the
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42 various Python library modules described in the Python Library Reference.
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43
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44 The :ref:`glossary` is also worth going through.
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45
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46 .. toctree::
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47 :numbered:
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48
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49 appetite.rst
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50 interpreter.rst
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51 introduction.rst
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52 controlflow.rst
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53 datastructures.rst
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54 modules.rst
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55 inputoutput.rst
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56 errors.rst
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57 classes.rst
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58 stdlib.rst
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59 stdlib2.rst
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60 whatnow.rst
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61 interactive.rst
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62 floatingpoint.rst