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tadd('x') supdate([10,37,42]) # Add a single item # Adds multiple items to s
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An item can be removed using remove():
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tremove('H')
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1
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A Tutorial Introduction
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Dictionaries
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A dictionary is an associative array or hash table that contains objects indexed by keys You create a dictionary by enclosing the values in curly braces ({ }), like this:
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stock = { "name" : "GOOG", "shares" : 100, "price" : 49010 }
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To access members of a dictionary, use the key-indexing operator as follows:
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name = stock["name"] value = stock["shares"] * shares["price"]
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Inserting or modifying objects works like this:
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stock["shares"] = 75 stock["date"] = "June 7, 2007"
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Although strings are the most common type of key, you can use many other Python objects, including numbers and tuples Some objects, including lists and dictionaries, cannot be used as keys because their contents can change A dictionary is a useful way to define an object that consists of named fields as shown previously However, dictionaries are also used as a container for performing fast lookups on unordered data For example, here s a dictionary of stock prices:
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prices = { "GOOG" "AAPL" "IBM" "MSFT" } : : : : 49010, 12350, 9150, 5213
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An empty dictionary is created in one of two ways:
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prices = {} # An empty dict prices = dict() # An empty dict
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Dictionary membership is tested with the in operator, as in the following example:
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if "SCOX" in prices: p = prices["SCOX"] else: p = 00
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This particular sequence of steps can also be performed more compactly as follows:
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p = pricesget("SCOX",00)
To obtain a list of dictionary keys, convert a dictionary to a list:
syms = list(prices) # syms = ["AAPL", "MSFT", "IBM", "GOOG"]
Use the del statement to remove an element of a dictionary:
del prices["MSFT"]
Dictionaries are probably the most finely tuned data type in the Python interpreter So, if you are merely trying to store and work with data in your program, you are almost always better off using a dictionary than trying to come up with some kind of custom data structure on your own
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Iteration and Looping
Iteration and Looping
The most widely used looping construct is the for statement, which is used to iterate over a collection of items Iteration is one of Python s richest features However, the most common form of iteration is to simply loop over all the members of a sequence such as a string, list, or tuple Here s an example:
for n in [1,2,3,4,5,6,7,8,9]: print "2 to the %d power is %d" % (n, 2**n)
In this example, the variable n will be assigned successive items from the list [1,2,3,4, ,9] on each iteration Because looping over ranges of integers is quite common, the following shortcut is often used for that purpose:
for n in range(1,10): print "2 to the %d power is %d" % (n, 2**n)
The range(i,j [,stride]) function creates an object that represents a range of integers with values i to j-1 If the starting value is omitted, it s taken to be zero An optional stride can also be given as a third argument Here s an example:
a b c d = = = = range(5) range(1,8) range(0,14,3) range(8,1,-1) # # # # a b c d = = = = 0,1,2,3,4 1,2,3,4,5,6,7 0,3,6,9,12 8,7,6,5,4,3,2
One caution with range() is that in Python 2, the value it creates is a fully populated list with all of the integer values For extremely large ranges, this can inadvertently consume all available memoryTherefore, in older Python code, you will see programmers using an alternative function xrange() For example:
for i in xrange(100000000): statements # i = 0,1,2,,99999999
The object created by xrange() computes the values it represents on demand when lookups are requested For this reason, it is the preferred way to represent extremely large ranges of integer values In Python 3, the xrange() function has been renamed to range() and the functionality of the old range() function has been removed The for statement is not limited to sequences of integers and can be used to iterate over many kinds of objects including strings, lists, dictionaries, and files Here s an example:
a = "Hello World" # Print out the individual characters in a for c in a: print c b = ["Dave","Mark","Ann","Phil"] # Print out the members of a list for name in b: print name c = { 'GOOG' : 49010, 'IBM' : 9150, 'AAPL' : 12315 } # Print out all of the members of a dictionary for key in c: print key, c[key] # Print all of the lines in a file f = open("footxt")