8.5. Nested Recap
8.5.1. What is an Object?
Basic types are objects
Iterable are objects too
Everything is an object
tuple.mro()list.mro()set.mro()
>>> tuple.mro()
[<class 'tuple'>, <class 'object'>]
>>> list.mro()
[<class 'list'>, <class 'object'>]
>>> set.mro()
[<class 'set'>, <class 'object'>]
8.5.2. Append vs. Extend
>>> from pprint import pprint
>>> data = [1, 2, 3]
>>> data.extend([4, 5, 6])
>>>
>>> data
[1, 2, 3, 4, 5, 6]
>>> data = [1, 2, 3]
>>> data.append([4, 5, 6])
>>>
>>> data
[1, 2, 3, [4, 5, 6]]
Append elements using list.append():
>>> result = [
... ('Mark', 'Watney'),
... ('Melisa', 'Lewis'),
... ('Rick', 'Martinez'),
... ]
>>>
>>> data = ('Alex', 'Vogel')
>>> result.append(data)
>>>
>>> pprint(result, width=30)
[('Mark', 'Watney'),
('Melisa', 'Lewis'),
('Rick', 'Martinez'),
('Alex', 'Vogel')]
Append elements using list.extend():
>>> result = [
... ('Mark', 'Watney'),
... ('Melisa', 'Lewis'),
... ('Rick', 'Martinez'),
... ]
>>>
>>> data = ('Alex', 'Vogel')
>>> result.extend(data)
>>>
>>> pprint(result, width=30)
[('Mark', 'Watney'),
('Melisa', 'Lewis'),
('Rick', 'Martinez'),
'Alex',
'Vogel']
8.5.3. Use Case - 1
One dimensional (1D) structure - vector
>>> data = [1, 2, 3]
Is equivalent to:
>>> obj1 = 1
>>> obj2 = 2
>>> obj3 = 3
>>>
>>> data = [obj1, obj2, obj3]
8.5.4. Use Case - 2
Two dimensional (2D) structure - matrix
>>> data = [
... [1, 2, 3],
... [4, 5, 6],
... [7, 8, 9],
... ]
Is equivalent to:
>>> obj1 = [1, 2, 3]
>>> obj2 = [4, 5, 6]
>>> obj3 = [7, 8, 9]
>>>
>>> data = [obj1, obj2, obj3]