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When slicing, you specify (either explicitly or implicitly) the start and end points of the slice. Another parameter (added to the built-in types in Python 2.3), which normally is left implicit, is the step length. In a regular slice, the step length is one the slice moves from one element to the next, returning all the elements between the start and end: >>> numbers[0:10:1] [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] In this example, you can see that the slice includes another number. This is, as you may have guessed, the step size, made explicit. If the step size is set to a number greater than one, elements will be skipped. For example, a step size of two will include only every other element of the interval between the start and the end: >>> numbers[0:10:2] [1, 3, 5, 7, 9] numbers[3:6:3] [4] You can still use the shortcuts mentioned earlier; if you want every fourth element of a sequence, you only have to supply a step size of four: >>> numbers[::4] [1, 5, 9] Naturally, the step size can t be zero that wouldn t get you anywhere but it can be negative, which means extracting the elements from right to left:



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The IN operator (the IN predicate in standard SQL) determines if the value of a specific column matches a list of values. The list must be of a data type compatible with the column to be matched, and may be composed of either literals separated by commas or the result set from a subquery, but not both. The following is some example syntax:

'1 a.m.', '1:30 p.m.', 'midnight', 'noon', '12:30 p.m.'

SELECT column1, column2, ..., columnN FROM table1 WHERE columnX IN (1, 10, 14)

'Thu, 21 Dec 2000 16:01:07 +0200' '00' to '59' 'st', 'nd', 'rd' or 'th'





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>>> numbers[8:3:-1] [9, 8, 7, 6, 5] >>> numbers[10:0:-2] [10, 8, 6, 4, 2] >>> numbers[0:10:-2] [] >>> numbers[::-2] [10, 8, 6, 4, 2] >>> numbers[5::-2] [6, 4, 2] >>> numbers[:5:-2] [10, 8] Getting things right here can involve a bit of thinking. As you can see, the first limit (the leftmost) is still inclusive, while the second (the rightmost) is exclusive. When using a negative step size, you have to have a first limit (start index) that is higher than the second one. What may be a bit confusing is that when you leave the start and end indices implicit, Python does the right thing here; for a positive step size it moves from the beginning toward the end, and for a negative step size it moves from the end toward the beginning.

Here, the list contains three integer literals. The matching column (columnX, which is some column in the table but not necessarily one in the select list) must be of a numeric data type for this list to be compatible. Only the rows in table1 whose columnX value is 1, 10, or 14 will be selected.

28 to 31 'EST', 'MDT'

( SELECT column1 FROM table2 )

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'0' (Sunday) to '6'

This query accomplishes much the same result as the first, but instead of a list of literals it uses the values from a column in another table to populate the list. If column1 of table2 had only the values 1, 10, and 14, this would have the same effect as the first query. Of course, if other values occurred in table2, they would also occur in the list, and the outer query probably wouldn t produce the same result set as the first query. (A subquery is sometimes referred to as an inner query, and the query that contains it is referred to as an outer query.) You have many, many variations on how you can code subqueries. Because they are queries, all the clauses and other keywords available for queries can be used in them. Our goal here is simply to show the straightforward pattern they follow and, in this case, to demonstrate how they can be used to replace a list of literals.

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