symbian-qemu-0.9.1-12/python-2.6.1/Doc/glossary.rst
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     1 .. _glossary:
       
     2 
       
     3 ********
       
     4 Glossary
       
     5 ********
       
     6 
       
     7 .. if you add new entries, keep the alphabetical sorting!
       
     8 
       
     9 .. glossary::
       
    10 
       
    11    ``>>>``
       
    12       The default Python prompt of the interactive shell.  Often seen for code
       
    13       examples which can be executed interactively in the interpreter.
       
    14     
       
    15    ``...``
       
    16       The default Python prompt of the interactive shell when entering code for
       
    17       an indented code block or within a pair of matching left and right
       
    18       delimiters (parentheses, square brackets or curly braces).
       
    19 
       
    20    2to3
       
    21       A tool that tries to convert Python 2.x code to Python 3.x code by
       
    22       handling most of the incompatibilites which can be detected by parsing the
       
    23       source and traversing the parse tree.
       
    24 
       
    25       2to3 is available in the standard library as :mod:`lib2to3`; a standalone
       
    26       entry point is provided as :file:`Tools/scripts/2to3`.  See
       
    27       :ref:`2to3-reference`.
       
    28 
       
    29    abstract base class
       
    30       Abstract Base Classes (abbreviated ABCs) complement :term:`duck-typing` by
       
    31       providing a way to define interfaces when other techniques like :func:`hasattr`
       
    32       would be clumsy. Python comes with many builtin ABCs for data structures
       
    33       (in the :mod:`collections` module), numbers (in the :mod:`numbers`
       
    34       module), and streams (in the :mod:`io` module). You can create your own
       
    35       ABC with the :mod:`abc` module.
       
    36 
       
    37    argument
       
    38       A value passed to a function or method, assigned to a named local
       
    39       variable in the function body.  A function or method may have both
       
    40       positional arguments and keyword arguments in its definition.
       
    41       Positional and keyword arguments may be variable-length: ``*`` accepts
       
    42       or passes (if in the function definition or call) several positional
       
    43       arguments in a list, while ``**`` does the same for keyword arguments
       
    44       in a dictionary.
       
    45 
       
    46       Any expression may be used within the argument list, and the evaluated
       
    47       value is passed to the local variable.
       
    48 
       
    49    attribute
       
    50       A value associated with an object which is referenced by name using
       
    51       dotted expressions.  For example, if an object *o* has an attribute
       
    52       *a* it would be referenced as *o.a*.
       
    53     
       
    54    BDFL
       
    55       Benevolent Dictator For Life, a.k.a. `Guido van Rossum
       
    56       <http://www.python.org/~guido/>`_, Python's creator.
       
    57     
       
    58    bytecode
       
    59       Python source code is compiled into bytecode, the internal representation
       
    60       of a Python program in the interpreter.  The bytecode is also cached in
       
    61       ``.pyc`` and ``.pyo`` files so that executing the same file is faster the
       
    62       second time (recompilation from source to bytecode can be avoided).  This
       
    63       "intermediate language" is said to run on a :term:`virtual machine`
       
    64       that executes the machine code corresponding to each bytecode.
       
    65 
       
    66    class
       
    67       A template for creating user-defined objects. Class definitions
       
    68       normally contain method definitions which operate on instances of the
       
    69       class.
       
    70     
       
    71    classic class
       
    72       Any class which does not inherit from :class:`object`.  See
       
    73       :term:`new-style class`.  Classic classes will be removed in Python 3.0.
       
    74     
       
    75    coercion
       
    76       The implicit conversion of an instance of one type to another during an
       
    77       operation which involves two arguments of the same type.  For example,
       
    78       ``int(3.15)`` converts the floating point number to the integer ``3``, but
       
    79       in ``3+4.5``, each argument is of a different type (one int, one float),
       
    80       and both must be converted to the same type before they can be added or it
       
    81       will raise a ``TypeError``.  Coercion between two operands can be
       
    82       performed with the ``coerce`` builtin function; thus, ``3+4.5`` is
       
    83       equivalent to calling ``operator.add(*coerce(3, 4.5))`` and results in
       
    84       ``operator.add(3.0, 4.5)``.  Without coercion, all arguments of even
       
    85       compatible types would have to be normalized to the same value by the
       
    86       programmer, e.g., ``float(3)+4.5`` rather than just ``3+4.5``.
       
    87     
       
    88    complex number
       
    89       An extension of the familiar real number system in which all numbers are
       
    90       expressed as a sum of a real part and an imaginary part.  Imaginary
       
    91       numbers are real multiples of the imaginary unit (the square root of
       
    92       ``-1``), often written ``i`` in mathematics or ``j`` in
       
    93       engineering. Python has builtin support for complex numbers, which are
       
    94       written with this latter notation; the imaginary part is written with a
       
    95       ``j`` suffix, e.g., ``3+1j``.  To get access to complex equivalents of the
       
    96       :mod:`math` module, use :mod:`cmath`.  Use of complex numbers is a fairly
       
    97       advanced mathematical feature.  If you're not aware of a need for them,
       
    98       it's almost certain you can safely ignore them.
       
    99     
       
   100    context manager
       
   101       An object which controls the environment seen in a :keyword:`with`
       
   102       statement by defining :meth:`__enter__` and :meth:`__exit__` methods.
       
   103       See :pep:`343`.
       
   104 
       
   105    CPython
       
   106       The canonical implementation of the Python programming language.  The
       
   107       term "CPython" is used in contexts when necessary to distinguish this
       
   108       implementation from others such as Jython or IronPython.
       
   109 
       
   110    decorator
       
   111       A function returning another function, usually applied as a function
       
   112       transformation using the ``@wrapper`` syntax.  Common examples for
       
   113       decorators are :func:`classmethod` and :func:`staticmethod`.
       
   114 
       
   115       The decorator syntax is merely syntactic sugar, the following two
       
   116       function definitions are semantically equivalent::
       
   117 
       
   118          def f(...):
       
   119              ...
       
   120          f = staticmethod(f)
       
   121 
       
   122          @staticmethod
       
   123          def f(...):
       
   124              ...
       
   125 
       
   126    descriptor
       
   127       Any *new-style* object which defines the methods :meth:`__get__`,
       
   128       :meth:`__set__`, or :meth:`__delete__`.  When a class attribute is a
       
   129       descriptor, its special binding behavior is triggered upon attribute
       
   130       lookup.  Normally, using *a.b* to get, set or delete an attribute looks up
       
   131       the object named *b* in the class dictionary for *a*, but if *b* is a
       
   132       descriptor, the respective descriptor method gets called.  Understanding
       
   133       descriptors is a key to a deep understanding of Python because they are
       
   134       the basis for many features including functions, methods, properties,
       
   135       class methods, static methods, and reference to super classes.
       
   136 
       
   137       For more information about descriptors' methods, see :ref:`descriptors`.
       
   138     
       
   139    dictionary
       
   140       An associative array, where arbitrary keys are mapped to values.  The use
       
   141       of :class:`dict` closely resembles that for :class:`list`, but the keys can
       
   142       be any object with a :meth:`__hash__` function, not just integers.
       
   143       Called a hash in Perl.
       
   144 
       
   145    docstring
       
   146       A string literal which appears as the first expression in a class,
       
   147       function or module.  While ignored when the suite is executed, it is
       
   148       recognized by the compiler and put into the :attr:`__doc__` attribute
       
   149       of the enclosing class, function or module.  Since it is available via
       
   150       introspection, it is the canonical place for documentation of the
       
   151       object.
       
   152     
       
   153    duck-typing 
       
   154       A pythonic programming style which determines an object's type by inspection
       
   155       of its method or attribute signature rather than by explicit relationship
       
   156       to some type object ("If it looks like a duck and quacks like a duck, it
       
   157       must be a duck.")  By emphasizing interfaces rather than specific types,
       
   158       well-designed code improves its flexibility by allowing polymorphic
       
   159       substitution.  Duck-typing avoids tests using :func:`type` or
       
   160       :func:`isinstance`. (Note, however, that duck-typing can be complemented
       
   161       with abstract base classes.) Instead, it typically employs :func:`hasattr`
       
   162       tests or :term:`EAFP` programming.
       
   163     
       
   164    EAFP
       
   165       Easier to ask for forgiveness than permission.  This common Python coding
       
   166       style assumes the existence of valid keys or attributes and catches
       
   167       exceptions if the assumption proves false.  This clean and fast style is
       
   168       characterized by the presence of many :keyword:`try` and :keyword:`except`
       
   169       statements.  The technique contrasts with the :term:`LBYL` style 
       
   170       common to many other languages such as C.
       
   171 
       
   172    expression
       
   173       A piece of syntax which can be evaluated to some value.  In other words,
       
   174       an expression is an accumulation of expression elements like literals, names,
       
   175       attribute access, operators or function calls which all return a value.
       
   176       In contrast to many other languages, not all language constructs are expressions.
       
   177       There are also :term:`statement`\s which cannot be used as expressions,
       
   178       such as :keyword:`print` or :keyword:`if`.  Assignments are also statements,
       
   179       not expressions.
       
   180 
       
   181    extension module
       
   182       A module written in C or C++, using Python's C API to interact with the core and
       
   183       with user code.
       
   184 
       
   185    function
       
   186       A series of statements which returns some value to a caller. It can also
       
   187       be passed zero or more arguments which may be used in the execution of
       
   188       the body. See also :term:`argument` and :term:`method`.
       
   189 
       
   190    __future__
       
   191       A pseudo module which programmers can use to enable new language features
       
   192       which are not compatible with the current interpreter.  For example, the
       
   193       expression ``11/4`` currently evaluates to ``2``. If the module in which
       
   194       it is executed had enabled *true division* by executing::
       
   195     
       
   196          from __future__ import division
       
   197     
       
   198       the expression ``11/4`` would evaluate to ``2.75``.  By importing the
       
   199       :mod:`__future__` module and evaluating its variables, you can see when a
       
   200       new feature was first added to the language and when it will become the
       
   201       default::
       
   202     
       
   203          >>> import __future__
       
   204          >>> __future__.division
       
   205          _Feature((2, 2, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0), 8192)
       
   206 
       
   207    garbage collection
       
   208       The process of freeing memory when it is not used anymore.  Python
       
   209       performs garbage collection via reference counting and a cyclic garbage
       
   210       collector that is able to detect and break reference cycles.
       
   211     
       
   212    generator
       
   213       A function which returns an iterator.  It looks like a normal function
       
   214       except that values are returned to the caller using a :keyword:`yield`
       
   215       statement instead of a :keyword:`return` statement.  Generator functions
       
   216       often contain one or more :keyword:`for` or :keyword:`while` loops which
       
   217       :keyword:`yield` elements back to the caller.  The function execution is
       
   218       stopped at the :keyword:`yield` keyword (returning the result) and is
       
   219       resumed there when the next element is requested by calling the
       
   220       :meth:`next` method of the returned iterator.
       
   221     
       
   222       .. index:: single: generator expression
       
   223     
       
   224    generator expression
       
   225       An expression that returns a generator.  It looks like a normal expression
       
   226       followed by a :keyword:`for` expression defining a loop variable, range,
       
   227       and an optional :keyword:`if` expression.  The combined expression
       
   228       generates values for an enclosing function::
       
   229     
       
   230          >>> sum(i*i for i in range(10))         # sum of squares 0, 1, 4, ... 81
       
   231          285
       
   232     
       
   233    GIL
       
   234       See :term:`global interpreter lock`.
       
   235     
       
   236    global interpreter lock
       
   237       The lock used by Python threads to assure that only one thread
       
   238       executes in the :term:`CPython` :term:`virtual machine` at a time.
       
   239       This simplifies the CPython implementation by assuring that no two
       
   240       processes can access the same memory at the same time.  Locking the
       
   241       entire interpreter makes it easier for the interpreter to be
       
   242       multi-threaded, at the expense of much of the parallelism afforded by
       
   243       multi-processor machines.  Efforts have been made in the past to
       
   244       create a "free-threaded" interpreter (one which locks shared data at a
       
   245       much finer granularity), but so far none have been successful because
       
   246       performance suffered in the common single-processor case.
       
   247 
       
   248    hashable
       
   249       An object is *hashable* if it has a hash value which never changes during
       
   250       its lifetime (it needs a :meth:`__hash__` method), and can be compared to
       
   251       other objects (it needs an :meth:`__eq__` or :meth:`__cmp__` method).
       
   252       Hashable objects which compare equal must have the same hash value.
       
   253 
       
   254       Hashability makes an object usable as a dictionary key and a set member,
       
   255       because these data structures use the hash value internally.
       
   256 
       
   257       All of Python's immutable built-in objects are hashable, while no mutable
       
   258       containers (such as lists or dictionaries) are.  Objects which are
       
   259       instances of user-defined classes are hashable by default; they all
       
   260       compare unequal, and their hash value is their :func:`id`.
       
   261     
       
   262    IDLE
       
   263       An Integrated Development Environment for Python.  IDLE is a basic editor
       
   264       and interpreter environment which ships with the standard distribution of
       
   265       Python.  Good for beginners, it also serves as clear example code for
       
   266       those wanting to implement a moderately sophisticated, multi-platform GUI
       
   267       application.
       
   268     
       
   269    immutable
       
   270       An object with a fixed value.  Immutable objects include numbers, strings and
       
   271       tuples.  Such an object cannot be altered.  A new object has to
       
   272       be created if a different value has to be stored.  They play an important
       
   273       role in places where a constant hash value is needed, for example as a key
       
   274       in a dictionary.
       
   275     
       
   276    integer division
       
   277       Mathematical division discarding any remainder.  For example, the
       
   278       expression ``11/4`` currently evaluates to ``2`` in contrast to the
       
   279       ``2.75`` returned by float division.  Also called *floor division*.
       
   280       When dividing two integers the outcome will always be another integer
       
   281       (having the floor function applied to it). However, if one of the operands
       
   282       is another numeric type (such as a :class:`float`), the result will be
       
   283       coerced (see :term:`coercion`) to a common type.  For example, an integer
       
   284       divided by a float will result in a float value, possibly with a decimal
       
   285       fraction.  Integer division can be forced by using the ``//`` operator
       
   286       instead of the ``/`` operator.  See also :term:`__future__`.
       
   287     
       
   288    interactive
       
   289       Python has an interactive interpreter which means you can enter
       
   290       statements and expressions at the interpreter prompt, immediately
       
   291       execute them and see their results.  Just launch ``python`` with no
       
   292       arguments (possibly by selecting it from your computer's main
       
   293       menu). It is a very powerful way to test out new ideas or inspect
       
   294       modules and packages (remember ``help(x)``).
       
   295     
       
   296    interpreted
       
   297       Python is an interpreted language, as opposed to a compiled one,
       
   298       though the distinction can be blurry because of the presence of the
       
   299       bytecode compiler.  This means that source files can be run directly
       
   300       without explicitly creating an executable which is then run.
       
   301       Interpreted languages typically have a shorter development/debug cycle
       
   302       than compiled ones, though their programs generally also run more
       
   303       slowly.  See also :term:`interactive`.
       
   304     
       
   305    iterable
       
   306       A container object capable of returning its members one at a
       
   307       time. Examples of iterables include all sequence types (such as
       
   308       :class:`list`, :class:`str`, and :class:`tuple`) and some non-sequence
       
   309       types like :class:`dict` and :class:`file` and objects of any classes you
       
   310       define with an :meth:`__iter__` or :meth:`__getitem__` method.  Iterables
       
   311       can be used in a :keyword:`for` loop and in many other places where a
       
   312       sequence is needed (:func:`zip`, :func:`map`, ...).  When an iterable
       
   313       object is passed as an argument to the builtin function :func:`iter`, it
       
   314       returns an iterator for the object.  This iterator is good for one pass
       
   315       over the set of values.  When using iterables, it is usually not necessary
       
   316       to call :func:`iter` or deal with iterator objects yourself.  The ``for``
       
   317       statement does that automatically for you, creating a temporary unnamed
       
   318       variable to hold the iterator for the duration of the loop.  See also
       
   319       :term:`iterator`, :term:`sequence`, and :term:`generator`.
       
   320     
       
   321    iterator
       
   322       An object representing a stream of data.  Repeated calls to the iterator's
       
   323       :meth:`next` method return successive items in the stream.  When no more
       
   324       data are available a :exc:`StopIteration` exception is raised instead.  At
       
   325       this point, the iterator object is exhausted and any further calls to its
       
   326       :meth:`next` method just raise :exc:`StopIteration` again.  Iterators are
       
   327       required to have an :meth:`__iter__` method that returns the iterator
       
   328       object itself so every iterator is also iterable and may be used in most
       
   329       places where other iterables are accepted.  One notable exception is code
       
   330       which attempts multiple iteration passes.  A container object (such as a
       
   331       :class:`list`) produces a fresh new iterator each time you pass it to the
       
   332       :func:`iter` function or use it in a :keyword:`for` loop.  Attempting this
       
   333       with an iterator will just return the same exhausted iterator object used
       
   334       in the previous iteration pass, making it appear like an empty container.
       
   335     
       
   336       More information can be found in :ref:`typeiter`.
       
   337 
       
   338    keyword argument
       
   339       Arguments which are preceded with a ``variable_name=`` in the call.
       
   340       The variable name designates the local name in the function to which the
       
   341       value is assigned.  ``**`` is used to accept or pass a dictionary of
       
   342       keyword arguments.  See :term:`argument`.
       
   343 
       
   344    lambda
       
   345       An anonymous inline function consisting of a single :term:`expression`
       
   346       which is evaluated when the function is called.  The syntax to create
       
   347       a lambda function is ``lambda [arguments]: expression``
       
   348 
       
   349    LBYL
       
   350       Look before you leap.  This coding style explicitly tests for
       
   351       pre-conditions before making calls or lookups.  This style contrasts with
       
   352       the :term:`EAFP` approach and is characterized by the presence of many
       
   353       :keyword:`if` statements.
       
   354 
       
   355    list
       
   356       A built-in Python :term:`sequence`.  Despite its name it is more akin
       
   357       to an array in other languages than to a linked list since access to
       
   358       elements are O(1).
       
   359     
       
   360    list comprehension
       
   361       A compact way to process all or part of the elements in a sequence and
       
   362       return a list with the results.  ``result = ["0x%02x" % x for x in
       
   363       range(256) if x % 2 == 0]`` generates a list of strings containing
       
   364       even hex numbers (0x..) in the range from 0 to 255. The :keyword:`if`
       
   365       clause is optional.  If omitted, all elements in ``range(256)`` are
       
   366       processed.
       
   367     
       
   368    mapping
       
   369       A container object (such as :class:`dict`) which supports arbitrary key
       
   370       lookups using the special method :meth:`__getitem__`.
       
   371     
       
   372    metaclass
       
   373       The class of a class.  Class definitions create a class name, a class
       
   374       dictionary, and a list of base classes.  The metaclass is responsible for
       
   375       taking those three arguments and creating the class.  Most object oriented
       
   376       programming languages provide a default implementation.  What makes Python
       
   377       special is that it is possible to create custom metaclasses.  Most users
       
   378       never need this tool, but when the need arises, metaclasses can provide
       
   379       powerful, elegant solutions.  They have been used for logging attribute
       
   380       access, adding thread-safety, tracking object creation, implementing
       
   381       singletons, and many other tasks.
       
   382 
       
   383       More information can be found in :ref:`metaclasses`.
       
   384 
       
   385    method
       
   386       A function which is defined inside a class body.  If called as an attribute
       
   387       of an instance of that class, the method will get the instance object as
       
   388       its first :term:`argument` (which is usually called ``self``).
       
   389       See :term:`function` and :term:`nested scope`.
       
   390     
       
   391    mutable
       
   392       Mutable objects can change their value but keep their :func:`id`.  See
       
   393       also :term:`immutable`.
       
   394 
       
   395    named tuple
       
   396       Any tuple subclass whose indexable elements are also accessible using
       
   397       named attributes (for example, :func:`time.localtime` returns a
       
   398       tuple-like object where the *year* is accessible either with an
       
   399       index such as ``t[0]`` or with a named attribute like ``t.tm_year``).
       
   400 
       
   401       A named tuple can be a built-in type such as :class:`time.struct_time`,
       
   402       or it can be created with a regular class definition.  A full featured
       
   403       named tuple can also be created with the factory function
       
   404       :func:`collections.namedtuple`.  The latter approach automatically
       
   405       provides extra features such as a self-documenting representation like
       
   406       ``Employee(name='jones', title='programmer')``.
       
   407     
       
   408    namespace
       
   409       The place where a variable is stored.  Namespaces are implemented as
       
   410       dictionaries.  There are the local, global and builtin namespaces as well
       
   411       as nested namespaces in objects (in methods).  Namespaces support
       
   412       modularity by preventing naming conflicts.  For instance, the functions
       
   413       :func:`__builtin__.open` and :func:`os.open` are distinguished by their
       
   414       namespaces.  Namespaces also aid readability and maintainability by making
       
   415       it clear which module implements a function.  For instance, writing
       
   416       :func:`random.seed` or :func:`itertools.izip` makes it clear that those
       
   417       functions are implemented by the :mod:`random` and :mod:`itertools`
       
   418       modules, respectively.
       
   419     
       
   420    nested scope
       
   421       The ability to refer to a variable in an enclosing definition.  For
       
   422       instance, a function defined inside another function can refer to
       
   423       variables in the outer function.  Note that nested scopes work only for
       
   424       reference and not for assignment which will always write to the innermost
       
   425       scope.  In contrast, local variables both read and write in the innermost
       
   426       scope.  Likewise, global variables read and write to the global namespace.
       
   427     
       
   428    new-style class
       
   429       Any class which inherits from :class:`object`.  This includes all built-in
       
   430       types like :class:`list` and :class:`dict`.  Only new-style classes can
       
   431       use Python's newer, versatile features like :attr:`__slots__`,
       
   432       descriptors, properties, and :meth:`__getattribute__`.
       
   433 
       
   434       More information can be found in :ref:`newstyle`.
       
   435 
       
   436    object
       
   437       Any data with state (attributes or value) and defined behavior
       
   438       (methods).  Also the ultimate base class of any :term:`new-style
       
   439       class`.
       
   440     
       
   441    positional argument
       
   442       The arguments assigned to local names inside a function or method,
       
   443       determined by the order in which they were given in the call.  ``*`` is
       
   444       used to either accept multiple positional arguments (when in the
       
   445       definition), or pass several arguments as a list to a function.  See
       
   446       :term:`argument`.
       
   447 
       
   448    Python 3000 
       
   449       Nickname for the next major Python version, 3.0 (coined long ago
       
   450       when the release of version 3 was something in the distant future.)  This
       
   451       is also abbreviated "Py3k".
       
   452 
       
   453    Pythonic
       
   454       An idea or piece of code which closely follows the most common idioms
       
   455       of the Python language, rather than implementing code using concepts
       
   456       common to other languages.  For example, a common idiom in Python is
       
   457       to loop over all elements of an iterable using a :keyword:`for`
       
   458       statement.  Many other languages don't have this type of construct, so
       
   459       people unfamiliar with Python sometimes use a numerical counter instead::
       
   460      
       
   461           for i in range(len(food)):
       
   462               print food[i]
       
   463 
       
   464       As opposed to the cleaner, Pythonic method::
       
   465 
       
   466          for piece in food:
       
   467              print piece
       
   468 
       
   469    reference count
       
   470       The number of references to an object.  When the reference count of an
       
   471       object drops to zero, it is deallocated.  Reference counting is
       
   472       generally not visible to Python code, but it is a key element of the
       
   473       :term:`CPython` implementation.  The :mod:`sys` module defines a
       
   474       :func:`getrefcount` function that programmers can call to return the
       
   475       reference count for a particular object.
       
   476 
       
   477    __slots__
       
   478       A declaration inside a :term:`new-style class` that saves memory by
       
   479       pre-declaring space for instance attributes and eliminating instance
       
   480       dictionaries.  Though popular, the technique is somewhat tricky to get
       
   481       right and is best reserved for rare cases where there are large numbers of
       
   482       instances in a memory-critical application.
       
   483     
       
   484    sequence
       
   485       An :term:`iterable` which supports efficient element access using integer
       
   486       indices via the :meth:`__getitem__` special method and defines a
       
   487       :meth:`len` method that returns the length of the sequence.
       
   488       Some built-in sequence types are :class:`list`, :class:`str`,
       
   489       :class:`tuple`, and :class:`unicode`. Note that :class:`dict` also
       
   490       supports :meth:`__getitem__` and :meth:`__len__`, but is considered a
       
   491       mapping rather than a sequence because the lookups use arbitrary
       
   492       :term:`immutable` keys rather than integers.
       
   493 
       
   494    slice
       
   495       An object usually containing a portion of a :term:`sequence`.  A slice is
       
   496       created using the subscript notation, ``[]`` with colons between numbers
       
   497       when several are given, such as in ``variable_name[1:3:5]``.  The bracket
       
   498       (subscript) notation uses :class:`slice` objects internally (or in older
       
   499       versions, :meth:`__getslice__` and :meth:`__setslice__`).
       
   500 
       
   501    statement
       
   502       A statement is part of a suite (a "block" of code).  A statement is either
       
   503       an :term:`expression` or a one of several constructs with a keyword, such
       
   504       as :keyword:`if`, :keyword:`while` or :keyword:`print`.
       
   505 
       
   506    triple-quoted string
       
   507       A string which is bound by three instances of either a quotation mark
       
   508       (") or an apostrophe (').  While they don't provide any functionality
       
   509       not available with single-quoted strings, they are useful for a number
       
   510       of reasons.  They allow you to include unescaped single and double
       
   511       quotes within a string and they can span multiple lines without the
       
   512       use of the continuation character, making them especially useful when
       
   513       writing docstrings.
       
   514 
       
   515    type
       
   516       The type of a Python object determines what kind of object it is; every
       
   517       object has a type.  An object's type is accessible as its
       
   518       :attr:`__class__` attribute or can be retrieved with ``type(obj)``.
       
   519 
       
   520    virtual machine
       
   521       A computer defined entirely in software.  Python's virtual machine
       
   522       executes the :term:`bytecode` emitted by the bytecode compiler.
       
   523     
       
   524    Zen of Python
       
   525       Listing of Python design principles and philosophies that are helpful in
       
   526       understanding and using the language.  The listing can be found by typing
       
   527       "``import this``" at the interactive prompt.