Zelle - Chapter 11.pdf - CTools

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Fun With Lists • Python has many features that allow us to do things to an entire list in a single statement • Lists are powerful objects
lst = [ 21, 14, 4, 3, 12, 18] >>> print lst [21, 14, 4, 3, 12, 18] >>> print 18 in lst True >>> print 24 in lst False >>> lst.append(50) >>> print lst [21, 14, 4, 3, 12, 18, 50] >>> lst.remove(4) >>> print lst [21, 14, 3, 12, 18, 50] >>> print lst [21, 14, 3, 12, 18, 50] >>> print lst.index(18) 4 >>> lst.reverse() >>> print lst [50, 18, 12, 3, 14, 21] >>> lst.sort() >>> print lst [3, 12, 14, 18, 21, 50] >>> del lst[2] >>> print lst [3, 12, 18, 21, 33] z-343
Page 1 and 2: Data Collections Zelle - Chapter 11
Page 3 and 4: What is a Collection? • A collect
Page 5 and 6: Terminology: Object • An Object i
Page 7 and 8: The Python List Object
Page 9 and 10: print grades [100, 97, 100] >>> new
Page 11: Why lists start at zero? • Initia
Page 15 and 16: Quick Peek: Object Oriented
Page 17 and 18: One way to find out Capabilities Bu
Page 19 and 20: Try dir() with a String >>> y = “
Page 21 and 22: Object Oriented Summary • Variabl
Page 23 and 24: Dictionaries • Dictionaries are P
Page 25 and 26: purse = dict() >>> purse['money'] =
Page 27 and 28: lst = list() >>> lst.append(21) >>>
Page 29 and 30: Dictionary Literals (Constants) •
Page 31 and 32: Dictionary Patterns • It is an er
Page 33 and 34: Dictionary Counting • Since it is
Page 35 and 36: Retrieving lists of Keys and Values
Page 37 and 38: Dictionary Maximum Loop $ cat dictm
Page 39 and 40: Dictionaries are not Ordered >>> dc
Page 41 and 42: Counting Words python wordcount.py
Page 43 and 44: Summary: Two Collections • List

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