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annotate Doc/reference/introduction.rst @ 58925:eecf1bef052d 2.6
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r78207 | ezio.melotti | 2010-02-17 01:26:09 +0200 (Wed, 17 Feb 2010) | 1 line
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| author | Ezio Melotti <ezio.melotti@gmail.com> |
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| date | Tue, 16 Feb 2010 23:29:44 +0000 |
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1 |
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2 .. _introduction: |
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3 |
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4 ************ |
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5 Introduction |
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6 ************ |
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7 |
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8 This reference manual describes the Python programming language. It is not |
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9 intended as a tutorial. |
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10 |
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11 While I am trying to be as precise as possible, I chose to use English rather |
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12 than formal specifications for everything except syntax and lexical analysis. |
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13 This should make the document more understandable to the average reader, but |
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14 will leave room for ambiguities. Consequently, if you were coming from Mars and |
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15 tried to re-implement Python from this document alone, you might have to guess |
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16 things and in fact you would probably end up implementing quite a different |
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17 language. On the other hand, if you are using Python and wonder what the precise |
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18 rules about a particular area of the language are, you should definitely be able |
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19 to find them here. If you would like to see a more formal definition of the |
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20 language, maybe you could volunteer your time --- or invent a cloning machine |
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21 :-). |
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22 |
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23 It is dangerous to add too many implementation details to a language reference |
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24 document --- the implementation may change, and other implementations of the |
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25 same language may work differently. On the other hand, there is currently only |
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26 one Python implementation in widespread use (although alternate implementations |
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27 exist), and its particular quirks are sometimes worth being mentioned, |
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28 especially where the implementation imposes additional limitations. Therefore, |
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29 you'll find short "implementation notes" sprinkled throughout the text. |
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30 |
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31 Every Python implementation comes with a number of built-in and standard |
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32 modules. These are documented in :ref:`library-index`. A few built-in modules |
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33 are mentioned when they interact in a significant way with the language |
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34 definition. |
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35 |
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36 |
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37 .. _implementations: |
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38 |
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39 Alternate Implementations |
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40 ========================= |
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41 |
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42 Though there is one Python implementation which is by far the most popular, |
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43 there are some alternate implementations which are of particular interest to |
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44 different audiences. |
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45 |
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46 Known implementations include: |
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47 |
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48 CPython |
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49 This is the original and most-maintained implementation of Python, written in C. |
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50 New language features generally appear here first. |
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51 |
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52 Jython |
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53 Python implemented in Java. This implementation can be used as a scripting |
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54 language for Java applications, or can be used to create applications using the |
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55 Java class libraries. It is also often used to create tests for Java libraries. |
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56 More information can be found at `the Jython website <http://www.jython.org/>`_. |
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57 |
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58 Python for .NET |
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59 This implementation actually uses the CPython implementation, but is a managed |
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60 .NET application and makes .NET libraries available. It was created by Brian |
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61 Lloyd. For more information, see the `Python for .NET home page |
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62 <http://pythonnet.sourceforge.net>`_. |
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63 |
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64 IronPython |
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65 An alternate Python for .NET. Unlike Python.NET, this is a complete Python |
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66 implementation that generates IL, and compiles Python code directly to .NET |
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67 assemblies. It was created by Jim Hugunin, the original creator of Jython. For |
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68 more information, see `the IronPython website <http://www.ironpython.com/>`_. |
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69 |
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70 PyPy |
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71 An implementation of Python written in Python; even the bytecode interpreter is |
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72 written in Python. This is executed using CPython as the underlying |
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73 interpreter. One of the goals of the project is to encourage experimentation |
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74 with the language itself by making it easier to modify the interpreter (since it |
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75 is written in Python). Additional information is available on `the PyPy |
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76 project's home page <http://codespeak.net/pypy/>`_. |
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77 |
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78 Each of these implementations varies in some way from the language as documented |
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79 in this manual, or introduces specific information beyond what's covered in the |
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80 standard Python documentation. Please refer to the implementation-specific |
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81 documentation to determine what else you need to know about the specific |
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82 implementation you're using. |
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83 |
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84 |
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85 .. _notation: |
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86 |
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87 Notation |
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88 ======== |
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89 |
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90 .. index:: |
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91 single: BNF |
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92 single: grammar |
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93 single: syntax |
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94 single: notation |
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95 |
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96 The descriptions of lexical analysis and syntax use a modified BNF grammar |
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97 notation. This uses the following style of definition: |
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98 |
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99 .. productionlist:: * |
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100 name: `lc_letter` (`lc_letter` | "_")* |
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101 lc_letter: "a"..."z" |
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102 |
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103 The first line says that a ``name`` is an ``lc_letter`` followed by a sequence |
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104 of zero or more ``lc_letter``\ s and underscores. An ``lc_letter`` in turn is |
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105 any of the single characters ``'a'`` through ``'z'``. (This rule is actually |
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106 adhered to for the names defined in lexical and grammar rules in this document.) |
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107 |
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108 Each rule begins with a name (which is the name defined by the rule) and |
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109 ``::=``. A vertical bar (``|``) is used to separate alternatives; it is the |
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110 least binding operator in this notation. A star (``*``) means zero or more |
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111 repetitions of the preceding item; likewise, a plus (``+``) means one or more |
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112 repetitions, and a phrase enclosed in square brackets (``[ ]``) means zero or |
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113 one occurrences (in other words, the enclosed phrase is optional). The ``*`` |
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114 and ``+`` operators bind as tightly as possible; parentheses are used for |
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115 grouping. Literal strings are enclosed in quotes. White space is only |
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116 meaningful to separate tokens. Rules are normally contained on a single line; |
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117 rules with many alternatives may be formatted alternatively with each line after |
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118 the first beginning with a vertical bar. |
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119 |
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120 .. index:: |
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121 single: lexical definitions |
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122 single: ASCII@ASCII |
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123 |
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124 In lexical definitions (as the example above), two more conventions are used: |
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125 Two literal characters separated by three dots mean a choice of any single |
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126 character in the given (inclusive) range of ASCII characters. A phrase between |
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127 angular brackets (``<...>``) gives an informal description of the symbol |
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128 defined; e.g., this could be used to describe the notion of 'control character' |
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129 if needed. |
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130 |
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131 Even though the notation used is almost the same, there is a big difference |
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132 between the meaning of lexical and syntactic definitions: a lexical definition |
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133 operates on the individual characters of the input source, while a syntax |
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134 definition operates on the stream of tokens generated by the lexical analysis. |
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135 All uses of BNF in the next chapter ("Lexical Analysis") are lexical |
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136 definitions; uses in subsequent chapters are syntactic definitions. |
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137 |
