mirror of https://github.com/python/cpython
Spelling: internalization --> internationalization
Fixed displays of the interactive prompt in running text. These close SourceForge bug #115658. Also: Updated discussion of tuple unpacking to reflect the general ability to unpack any sequence type. Explained that it is possible to create tuples which contain mutable values, and noted in the dictionary section that such tuples cannot be used as keys. Noted that .pyc and .pyo files can be run directly when provided as the script parameter to the interpreter, and slightly clarified comments about using modules with only the byte compiled code. Removed some XXX comments that are no longer relevant. Removed commented-out paragraph about __private names being experimental. Adjusted markup for consistency in some places.
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Doc/tut/tut.tex
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Doc/tut/tut.tex
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@ -238,7 +238,7 @@ not consumed by the Python interpreter's option processing but left in
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When commands are read from a tty, the interpreter is said to be in
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\emph{interactive mode}. In this mode it prompts for the next command
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with the \emph{primary prompt}, usually three greater-than signs
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(\samp{>>>~}); for continuation lines it prompts with the
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(\samp{>\code{>}>~}); for continuation lines it prompts with the
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\emph{secondary prompt}, by default three dots (\samp{...~}).
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The interpreter prints a welcome message stating its version number
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and a copyright notice before printing the first prompt, e.g.:
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@ -340,7 +340,7 @@ if filename and os.path.isfile(filename):
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\chapter{An Informal Introduction to Python \label{informal}}
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In the following examples, input and output are distinguished by the
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presence or absence of prompts (\samp{>>>~} and \samp{...~}): to repeat
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presence or absence of prompts (\samp{>\code{>}>~} and \samp{...~}): to repeat
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the example, you must type everything after the prompt, when the
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prompt appears; lines that do not begin with a prompt are output from
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the interpreter. %
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@ -372,7 +372,7 @@ STRING = "# This is not a comment."
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\section{Using Python as a Calculator \label{calculator}}
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Let's try some simple Python commands. Start the interpreter and wait
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for the primary prompt, \samp{>>> }. (It shouldn't take long.)
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for the primary prompt, \samp{>\code{>}>~}. (It shouldn't take long.)
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\subsection{Numbers \label{numbers}}
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@ -420,7 +420,7 @@ A value can be assigned to several variables simultaneously:
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>>> z
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0
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\end{verbatim}
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%
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There is full support for floating point; operators with mixed type
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operands convert the integer operand to floating point:
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@ -430,7 +430,7 @@ operands convert the integer operand to floating point:
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>>> 7.0 / 2
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3.5
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\end{verbatim}
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%
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Complex numbers are also supported; imaginary numbers are written with
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a suffix of \samp{j} or \samp{J}. Complex numbers with a nonzero
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real component are written as \samp{(\var{real}+\var{imag}j)}, or can
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@ -448,7 +448,7 @@ be created with the \samp{complex(\var{real}, \var{imag})} function.
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>>> (1+2j)/(1+1j)
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(1.5+0.5j)
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\end{verbatim}
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%
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Complex numbers are always represented as two floating point numbers,
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the real and imaginary part. To extract these parts from a complex
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number \var{z}, use \code{\var{z}.real} and \code{\var{z}.imag}.
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@ -460,7 +460,7 @@ number \var{z}, use \code{\var{z}.real} and \code{\var{z}.imag}.
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>>> a.imag
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0.5
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\end{verbatim}
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%
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The conversion functions to floating point and integer
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(\function{float()}, \function{int()} and \function{long()}) don't
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work for complex numbers --- there is no one correct way to convert a
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@ -478,7 +478,7 @@ TypeError: can't convert complex to float; use e.g. abs(z)
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>>> abs(a)
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1.58113883008
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\end{verbatim}
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%
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In interactive mode, the last printed expression is assigned to the
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variable \code{_}. This means that when you are using Python as a
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desk calculator, it is somewhat easier to continue calculations, for
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@ -749,9 +749,9 @@ in every script used in modern and ancient texts. Previously, there
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were only 256 possible ordinals for script characters and texts were
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typically bound to a code page which mapped the ordinals to script
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characters. This lead to very much confusion especially with respect
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to internalization (usually written as \samp{i18n} --- \character{i} +
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18 characters + \character{n}) of software. Unicode solves these
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problems by defining one code page for all scripts.
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to internationalization (usually written as \samp{i18n} ---
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\character{i} + 18 characters + \character{n}) of software. Unicode
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solves these problems by defining one code page for all scripts.
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Creating Unicode strings in Python is just as simple as creating
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normal strings:
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@ -1167,6 +1167,7 @@ which searches for prime numbers:
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9 equals 3 * 3
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\end{verbatim}
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\section{\keyword{pass} Statements \label{pass}}
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The \keyword{pass} statement does nothing.
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@ -1180,6 +1181,7 @@ For example:
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...
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\end{verbatim}
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\section{Defining Functions \label{functions}}
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We can create a function that writes the Fibonacci series to an
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@ -1277,7 +1279,7 @@ the Fibonacci series, instead of printing it:
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>>> f100 # write the result
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[1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89]
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\end{verbatim}
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%
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This example, as usual, demonstrates some new Python features:
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\begin{itemize}
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@ -1467,6 +1469,7 @@ shopkeeper : Michael Palin
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sketch : Cheese Shop Sketch
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\end{verbatim}
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\subsection{Arbitrary Argument Lists \label{arbitraryArgs}}
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Finally, the least frequently used option is to specify that a
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@ -1753,6 +1756,7 @@ item, then to the result and the next item, and so on. For example,
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0
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\end{verbatim}
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\subsection{List Comprehensions}
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List comprehensions provide a concise way to create lists without resorting
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@ -1795,6 +1799,7 @@ SyntaxError: invalid syntax
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[6, 5, -7, 8, 7, -5, 10, 9, -3]
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\end{verbatim}
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\section{The \keyword{del} statement \label{del}}
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There is a way to remove an item from a list given its index instead
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@ -1823,6 +1828,7 @@ Referencing the name \code{a} hereafter is an error (at least until
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another value is assigned to it). We'll find other uses for
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\keyword{del} later.
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\section{Tuples and Sequences \label{tuples}}
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We saw that lists and strings have many common properties, e.g.,
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@ -1855,7 +1861,8 @@ Tuples have many uses, e.g., (x, y) coordinate pairs, employee records
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from a database, etc. Tuples, like strings, are immutable: it is not
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possible to assign to the individual items of a tuple (you can
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simulate much of the same effect with slicing and concatenation,
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though).
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though). It is also possible to create tuples which contain mutable
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objects, such as lists.
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A special problem is the construction of tuples containing 0 or 1
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items: the syntax has some extra quirks to accommodate these. Empty
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@ -1884,24 +1891,17 @@ is also possible, e.g.:
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>>> x, y, z = t
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\end{verbatim}
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This is called, appropriately enough, \emph{tuple unpacking}. Tuple
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unpacking requires that the list of variables on the left have the same
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number of elements as the length of the tuple. Note that multiple
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assignment is really just a combination of tuple packing and tuple
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unpacking!
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This is called, appropriately enough, \emph{sequence unpacking}.
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Sequence unpacking requires that the list of variables on the left
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have the same number of elements as the length of the sequence. Note
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that multiple assignment is really just a combination of tuple packing
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and sequence unpacking!
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% XXX This is no longer necessary!
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Occasionally, the corresponding operation on lists is useful: \emph{list
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unpacking}. This is supported by enclosing the list of variables in
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square brackets:
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\begin{verbatim}
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>>> a = ['spam', 'eggs', 100, 1234]
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>>> [a1, a2, a3, a4] = a
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\end{verbatim}
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There is a small bit of asymmetry here: packing multiple values
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always creates a tuple, and unpacking works for any sequence.
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% XXX Add a bit on the difference between tuples and lists.
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% XXX Also explain that a tuple can *contain* a mutable object!
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\section{Dictionaries \label{dictionaries}}
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indexed by a range of numbers, dictionaries are indexed by \emph{keys},
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which can be any immutable type; strings and numbers can always be
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keys. Tuples can be used as keys if they contain only strings,
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numbers, or tuples. You can't use lists as keys, since lists can be
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modified in place using their \code{append()} method.
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numbers, or tuples; if a tuple contains any mutable object either
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directly or indirectly, it cannot be used as a key. You can't use
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lists as keys, since lists can be modified in place using their
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\method{append()} and \method{extend()} methods, as well as slice and
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indexed assignments.
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It is best to think of a dictionary as an unordered set of
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\emph{key:value} pairs, with the requirement that the keys are unique
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\emph{key: value} pairs, with the requirement that the keys are unique
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(within one dictionary).
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A pair of braces creates an empty dictionary: \code{\{\}}.
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Placing a comma-separated list of key:value pairs within the
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@ -2001,6 +2004,7 @@ C programmers may grumble about this, but it avoids a common class of
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problems encountered in C programs: typing \code{=} in an expression when
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\code{==} was intended.
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\section{Comparing Sequences and Other Types \label{comparing}}
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Sequence objects may be compared to other objects with the same
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@ -2102,7 +2106,7 @@ Using the module name you can access the functions:
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>>> fibo.__name__
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'fibo'
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\end{verbatim}
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%
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If you intend to use a function often you can assign it to a local name:
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\begin{verbatim}
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This imports all names except those beginning with an underscore
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(\code{_}).
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\subsection{The Module Search Path \label{searchPath}}
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% XXX Need to document that a lone .pyc/.pyo is acceptable too!
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\subsection{The Module Search Path \label{searchPath}}
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\indexiii{module}{search}{path}
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When a module named \module{spam} is imported, the interpreter searches
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bytecode for the script is never written to a \file{.pyc} or
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\file{.pyo} file. Thus, the startup time of a script may be reduced
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by moving most of its code to a module and having a small bootstrap
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script that imports that module.
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script that imports that module. It is also possible to name a
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\file{.pyc} or \file{.pyo} file directly on the command line.
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\item
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It is possible to have a file called \file{spam.pyc} (or
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\file{spam.pyo} when \programopt{-O} is used) without a module
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\file{spam.py} in the same module. This can be used to distribute
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a library of Python code in a form that is moderately hard to reverse
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\file{spam.pyo} when \programopt{-O} is used) without a file
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\file{spam.py} for the same module. This can be used to distribute a
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library of Python code in a form that is moderately hard to reverse
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engineer.
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\item
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'reduce', 'reload', 'repr', 'round', 'setattr', 'str', 'type', 'xrange']
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\end{verbatim}
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\section{Packages \label{packages}}
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Packages are a way of structuring Python's module namespace
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karaoke.py
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...
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\end{verbatim}
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The \file{__init__.py} files are required to make Python treat the
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directories as containing packages; this is done to prevent
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directories with a common name, such as \samp{string}, from
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\begin{verbatim}
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import Sound.Effects.echo
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\end{verbatim}
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This loads the submodule \module{Sound.Effects.echo}. It must be referenced
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with its full name, e.g.
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\begin{verbatim}
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Sound.Effects.echo.echofilter(input, output, delay=0.7, atten=4)
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\end{verbatim}
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An alternative way of importing the submodule is:
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\begin{verbatim}
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from Sound.Effects import echo
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\end{verbatim}
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This also loads the submodule \module{echo}, and makes it available without
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its package prefix, so it can be used as follows:
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from Sound.Effects import *
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\end{verbatim}
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In this example, the echo and surround modules are imported in the
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current namespace because they are defined in the
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\module{Sound.Effects} package when the \code{from...import} statement
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>>> string.zfill('3.14159265359', 5)
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'3.14159265359'
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\end{verbatim}
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%
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Using the \code{\%} operator looks like this:
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\begin{verbatim}
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self.add(x)
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\end{verbatim}
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Methods may reference global names in the same way as ordinary
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functions. The global scope associated with a method is the module
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containing the class definition. (The class itself is never used as a
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self.__vdict[name] = value
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\end{verbatim}
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%\emph{Warning: this is an experimental feature.} To avoid all
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%potential problems, refrain from using identifiers starting with
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%double underscore except for predefined uses like \samp{__init__}. To
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%use private names while maintaining future compatibility: refrain from
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%using the same private name in classes related via subclassing; avoid
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%explicit (manual) mangling/unmangling; and assume that at some point
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%in the future, leading double underscore will revert to being just a
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%naming convention. Discussion on extensive compile-time declarations
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%are currently underway, and it is impossible to predict what solution
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%will eventually be chosen for private names. Double leading
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%underscore is still a candidate, of course --- just not the only one.
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%It is placed in the distribution in the belief that it is useful, and
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%so that widespread experience with its use can be gained. It will not
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%be removed without providing a better solution and a migration path.
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\section{Odds and Ends \label{odds}}
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john.salary = 1000
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\end{verbatim}
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A piece of Python code that expects a particular abstract data type
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can often be passed a class that emulates the methods of that data
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type instead. For instance, if you have a function that formats some
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