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author | Georg Brandl <georg@python.org> | 2008-05-12 16:33:11 (GMT) |
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committer | Georg Brandl <georg@python.org> | 2008-05-12 16:33:11 (GMT) |
commit | dce26da49cb1f3865340814b71e31a9f6be2edde (patch) | |
tree | 26eec4074fbaa1bbb2e33a38b2283065e490c841 | |
parent | 2b2b44dc2c2b95569e0e59c6dd4b12148ffba598 (diff) | |
download | cpython-dce26da49cb1f3865340814b71e31a9f6be2edde.zip cpython-dce26da49cb1f3865340814b71e31a9f6be2edde.tar.gz cpython-dce26da49cb1f3865340814b71e31a9f6be2edde.tar.bz2 |
Remove duplicated paragraph.
-rw-r--r-- | Doc/tutorial/datastructures.rst | 66 |
1 files changed, 0 insertions, 66 deletions
diff --git a/Doc/tutorial/datastructures.rst b/Doc/tutorial/datastructures.rst index 201fa72..7999e0d 100644 --- a/Doc/tutorial/datastructures.rst +++ b/Doc/tutorial/datastructures.rst @@ -7,72 +7,6 @@ Data Structures This chapter describes some things you've learned about already in more detail, and adds some new things as well. -.. _tut-tuples: - -Tuples and Sequences -==================== - -We saw that lists and strings have many common properties, such as indexing and -slicing operations. They are two examples of *sequence* data types (see -:ref:`typesseq`). Since Python is an evolving language, other sequence data -types may be added. There is also another standard sequence data type: the -*tuple*. - -A tuple consists of a number of values separated by commas, for instance:: - - >>> t = 12345, 54321, 'hello!' - >>> t[0] - 12345 - >>> t - (12345, 54321, 'hello!') - >>> # Tuples may be nested: - ... u = t, (1, 2, 3, 4, 5) - >>> u - ((12345, 54321, 'hello!'), (1, 2, 3, 4, 5)) - -As you see, on output tuples are always enclosed in parentheses, so that nested -tuples are interpreted correctly; they may be input with or without surrounding -parentheses, although often parentheses are necessary anyway (if the tuple is -part of a larger expression). - -Tuples have many uses. For example: (x, y) coordinate pairs, employee records -from a database, etc. Tuples, like strings, are immutable: it is not possible -to assign to the individual items of a tuple (you can simulate much of the same -effect with slicing and concatenation, though). It is also possible to create -tuples which contain mutable objects, such as lists. - -A special problem is the construction of tuples containing 0 or 1 items: the -syntax has some extra quirks to accommodate these. Empty tuples are constructed -by an empty pair of parentheses; a tuple with one item is constructed by -following a value with a comma (it is not sufficient to enclose a single value -in parentheses). Ugly, but effective. For example:: - - >>> empty = () - >>> singleton = 'hello', # <-- note trailing comma - >>> len(empty) - 0 - >>> len(singleton) - 1 - >>> singleton - ('hello',) - -The statement ``t = 12345, 54321, 'hello!'`` is an example of *tuple packing*: -the values ``12345``, ``54321`` and ``'hello!'`` are packed together in a tuple. -The reverse operation is also possible:: - - >>> x, y, z = t - -This is called, appropriately enough, *sequence unpacking*. Sequence unpacking -requires the list of variables on the left to have the same number of elements -as the length of the sequence. Note that multiple assignment is really just a -combination of tuple packing and sequence unpacking! - -There is a small bit of asymmetry here: packing multiple values always creates -a tuple, and unpacking works for any sequence. - -.. % XXX Add a bit on the difference between tuples and lists. - - .. _tut-morelists: More on Lists |