Chapter 2. LISTS & TUPLES. 'Beginning Python From Novice to Professional' by Magnus Lie Hetland

FUNCTIONS of LISTS
>>> list ('Hello')
['H', 'e', 'l', 'l', 'o']'
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Item assignments

>>> x = [1,1,1]
>>> x[1]=2
>>> x
[1, 2, 1]
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Deleting elements

>>> names = ['debora','Alice','Trinity','Sofia']
>>> del names[2]
>>> names
['debora', 'Alice', 'Sofia']
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Slicing
>>> name = list('Perl')
>>> name
['P', 'e', 'r', 'l']
>>> name[2:]=list('ar')
>>> name
['P', 'e', 'a', 'r']
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Different length of initial and final list after slicing

>>> name[1:]=list('ython')
>>> name
['P', 'y', 't', 'h', 'o', 'n']
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Slicing without replacing

>>> numbers= [1,5]
>>> numbers[1:1]=[2,3,4]
>>> numbers
[1, 2, 3, 4, 5]
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Reversing of previous action

>>> numbers
[1, 2, 3, 4, 5]
>>> numbers[1:4]=[]
>>> numbers
[1, 5]
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LISTS METHODS

append

>>> lst = [1,2,3]
>>> lst
[1, 2, 3]
>>> lst.append(4)
>>> lst

[1, 2, 3, 4]
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count

>>> ['to','be','or','not','to','be'].count('to')

2
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extend

>>> a=[1,2,3]
>>> b=[4,5,6]
>>> a.extend(b)
>>> a
[1, 2, 3, 4, 5, 6]

it's not concatenation, where lists are not modified after action

>>> a+b
[1, 2, 3, 4, 5, 6]
>>> a
[1, 2, 3]
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index

>>> knights = ['c','v','f','h','l']
>>> knights.index('v')
1
>>> knights[4]
'l'
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insert

>>> numbers =[1,2,3,5,6,7]
>>> numbers
[1, 2, 3, 5, 6, 7]
>>> numbers.insert(3,'four')
>>> numbers
[1, 2, 3, 'four', 5, 6, 7]

or like slicing

>>> numbers
[1, 2, 3, 5, 6, 7]
>>> numbers [3:3]=['four']
>>> numbers
[1, 2, 3, 'four', 5, 6, 7]
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pop   (deleting the last element)

The pop method is the only list method that both modifies the list and returns a value (other than None).The generally accepted names for the two stack operations (putting things in and taking them out) are push and pop. Python doesn’t have push, but you can use append instead.

>>> x=[1,2,3]
>>> x
[1, 2, 3]
>>> x.pop()
3
>>> x.pop(1)

2
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remove (the first occurence of a value)

>>> x = ['to', 'be', 'or', 'not', 'to', 'be']
>>> x
['to', 'be', 'or', 'not', 'to', 'be']
>>> x.remove('be')
>>> x
['to', 'or', 'not', 'to', 'be']
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reverse

>>> x
[1, 2, 3]
>>> x.reverse()
>>> x
[3, 2, 1]
>>> list(reversed(x))
[1, 2, 3]
>>> x
[3, 2, 1]
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sort

>>> x
[2, 4, 3, 1, 5, 7, 6, 9, 8]
>>> y=x[:]
>>> y
[2, 4, 3, 1, 5, 7, 6, 9, 8]
>>> y.sort()
>>> y
[1, 2, 3, 4, 5, 6, 7, 8, 9]
>>> x
[2, 4, 3, 1, 5, 7, 6, 9, 8]
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Another way of getting a sorted copy of a list is using the sorted function
>>> x
[2, 4, 3, 1, 5, 7, 6, 9, 8]
>>> y = sorted(x)
>>> y
[1, 2, 3, 4, 5, 6, 7, 8, 9]
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>>> sorted('python')
['h', 'n', 'o', 'p', 't', 'y']
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comparison function, of the form
compare(x,y), which returns a negative number when x < y, a positive number when x > y,
and zero when x == y (according to your definition).

>>> cmp(32,42)
-1
>>> cmp(42,32)
1
>>> cmp(32,32)
0
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TUPLES

IT's unmodified sequences with COMMAs

>>> 42,
(42,)
>>> 3*(40+2)
126
>>> 3*(40+2,)
(42, 42, 42)
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The tuple function

>>> tuple([1,2,3])
(1, 2, 3)
>>> tuple('Python')
('P', 'y', 't', 'h', 'o', 'n')
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>>> x
(1, 2, 3)
>>> x[1]
2
>>> x[1:2]
(2,)
>>> x[1:3]
(2, 3)