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Incorporated feedback from lodin/adambard/others
Changes: - Added a few lines on using "is" to compare object identity. - Removed example about lists containing arbitrary values. - Removed example about assigning lambdas to variables. - Removed example about dictionary comprehensions. - Removed the additional explanation about 'self' - Added a clarification on modules.
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@ -98,6 +98,10 @@ None #=> None
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"etc" is None #=> False
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None is None #=> True
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# The 'is' operator tests for object identity. This isn't
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# very useful when dealing with primitive values, but is
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# very useful when dealing with objects.
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# None, 0, and empty strings/lists all evaluate to False.
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# All other values are True
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0 == False #=> True
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@ -169,9 +173,6 @@ li.extend(other_li) # Now li is [1, 2, 3, 4, 5, 6]
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# Examine the length with len
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len(li) #=> 6
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# Note: lists can contain arbitrary values
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li2 = [1, "Hello", [[], "Hi", 5,]]
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# Tuples are like lists but are immutable.
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tup = (1, 2, 3)
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tup[0] #=> 1
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@ -375,8 +376,6 @@ add_10(3) #=> 13
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# There are also anonymous functions
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(lambda x: x > 2)(3) #=> True
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rectangle_area = lambda a, b: a * b
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print rectangle_area(3, 4) #=> 12
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# There are built-in higher order functions
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map(add_10, [1,2,3]) #=> [11, 12, 13]
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@ -386,9 +385,6 @@ filter(lambda x: x > 5, [3, 4, 5, 6, 7]) #=> [6, 7]
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[add_10(i) for i in [1, 2, 3]] #=> [11, 12, 13]
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[x for x in [3, 4, 5, 6, 7] if x > 5] #=> [6, 7]
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# You can also use dictionary comprehensions
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{i: add_10(i) for i in [1, 2, 3]} #=> {1: 11, 2: 12, 3: 13}
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####################################################
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## 5. Classes
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####################################################
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@ -404,8 +400,7 @@ class Human(object):
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# Assign the argument to the instance's name attribute
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self.name = name
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# An instance method. All methods take self as the first argument,
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# which refers to the instance of this class
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# An instance method. All methods take self as the first argument
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def say(self, msg):
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return "%s: %s" % (self.name, msg)
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@ -462,7 +457,8 @@ import math as m
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math.sqrt(16) == m.sqrt(16) #=> True
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# Python modules are just ordinary python files. You
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# can write your own, and import them.
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# can write your own, and import them. The name of the
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# module is the same as the name of the file.
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```
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