Suppose we're typing in a list of the noble gases2 and our fingers slip:
>>> nobles = ['helium' , 'none', 'argon', 'krypton' , 'xenon', 'radon']
The error here is that we typed 'none' instead of 'neon'. Rather than retyping the whole list, we can assign a new value to a specific element of the list:
>>> nobles = ['helium' , 'none', 'argon', 'krypton' , 'xenon', 'radon'] >>> nobles = 'neon' >>> nobles
['helium' , 'neon', 'argon', 'krypton' , 'xenon', 'radon']
2. A noble gas is one whose outermost electron shell is completely full, which makes it chemically inert.
Figure 5.4: List mutation
In Figure 5.4, we show what the assignment to nobles did. It also shows that lists are mutable, in other words, that their contents can be changed after they have been created. In contrast, numbers and strings are immutable. You cannot, for example, change a letter in a string after you have created it. Methods that appear to, like upper, actually create new strings:
>>> name = 'Darwin' >>> capitalized = name.upperO >>> print capitalized 'DARWIN' >>> print name 'Darwin'
The expression L[i] behaves just like a simple variable (see Section 2.4, Variables and the Assignment Statement, on page 25). If it's on the right, it means "Get the value of the item at location i in the list L." If it's on the left, it means "Figure out where item i in the list L is located so that we can overwrite it."
Figure 5.5: List functions
Returns the number of items in list L Returns the maximum value in list L Returns the minimum value in list L Returns the sum of the values in list L
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