Python Lists
Lists are one of the 4 data types in Python used to store collections of data.
['John', 'Peter', 'Debora', 'Charles']
Getting values with indexes
>>> furniture = ['table', 'chair', 'rack', 'shelf']
>>> furniture[0]
# 'table'
>>> furniture[1]
# 'chair'
>>> furniture[2]
# 'rack'
>>> furniture[3]
# 'shelf'
Negative indexes
>>> furniture = ['table', 'chair', 'rack', 'shelf']
>>> furniture[-1]
# 'shelf'
>>> furniture[-3]
# 'chair'
>>> f'The {furniture[-1]} is bigger than the {furniture[-3]}'
# 'The shelf is bigger than the chair'
Getting sublists with Slices
>>> furniture = ['table', 'chair', 'rack', 'shelf']
>>> furniture[0:4]
# ['table', 'chair', 'rack', 'shelf']
>>> furniture[1:3]
# ['chair', 'rack']
>>> furniture[0:-1]
# ['table', 'chair', 'rack']
>>> furniture[:2]
# ['table', 'chair']
>>> furniture[1:]
# ['chair', 'rack', 'shelf']
>>> furniture[:]
# ['table', 'chair', 'rack', 'shelf']
Slicing the complete list will perform a copy:
>>> spam2 = spam[:]
# ['cat', 'bat', 'rat', 'elephant']
>>> spam.append('dog')
>>> spam
# ['cat', 'bat', 'rat', 'elephant', 'dog']
>>> spam2
# ['cat', 'bat', 'rat', 'elephant']
Getting a list length with len()
>>> furniture = ['table', 'chair', 'rack', 'shelf']
>>> len(furniture)
# 4
Changing values with indexes
>>> furniture = ['table', 'chair', 'rack', 'shelf']
>>> furniture[0] = 'desk'
>>> furniture
# ['desk', 'chair', 'rack', 'shelf']
>>> furniture[2] = furniture[1]
>>> furniture
# ['desk', 'chair', 'chair', 'shelf']
>>> furniture[-1] = 'bed'
>>> furniture
# ['desk', 'chair', 'chair', 'bed']
Concatenation and Replication
>>> [1, 2, 3] + ['A', 'B', 'C']
# [1, 2, 3, 'A', 'B', 'C']
>>> ['X', 'Y', 'Z'] * 3
# ['X', 'Y', 'Z', 'X', 'Y', 'Z', 'X', 'Y', 'Z']
>>> my_list = [1, 2, 3]
>>> my_list = my_list + ['A', 'B', 'C']
>>> my_list
# [1, 2, 3, 'A', 'B', 'C']
Using for loops with Lists
>>> furniture = ['table', 'chair', 'rack', 'shelf']
>>> for item in furniture:
... print(item)
# table
# chair
# rack
# shelf
Getting the index in a loop with enumerate()
>>> furniture = ['table', 'chair', 'rack', 'shelf']
>>> for index, item in enumerate(furniture):
... print(f'index: {index} - item: {item}')
# index: 0 - item: table
# index: 1 - item: chair
# index: 2 - item: rack
# index: 3 - item: shelf
Loop in Multiple Lists with zip()
>>> furniture = ['table', 'chair', 'rack', 'shelf']
>>> price = [100, 50, 80, 40]
>>> for item, amount in zip(furniture, price):
... print(f'The {item} costs ${amount}')
# The table costs $100
# The chair costs $50
# The rack costs $80
# The shelf costs $40
The in and not in operators
>>> 'rack' in ['table', 'chair', 'rack', 'shelf']
# True
>>> 'bed' in ['table', 'chair', 'rack', 'shelf']
# False
>>> 'bed' not in furniture
# True
>>> 'rack' not in furniture
# False
The Multiple Assignment Trick
The multiple assignment trick is a shortcut that lets you assign multiple variables with the values in a list in one line of code. So instead of doing this:
>>> furniture = ['table', 'chair', 'rack', 'shelf']
>>> table = furniture[0]
>>> chair = furniture[1]
>>> rack = furniture[2]
>>> shelf = furniture[3]
You could type this line of code:
>>> furniture = ['table', 'chair', 'rack', 'shelf']
>>> table, chair, rack, shelf = furniture
>>> table
# 'table'
>>> chair
# 'chair'
>>> rack
# 'rack'
>>> shelf
# 'shelf'
The multiple assignment trick can also be used to swap the values in two variables:
>>> a, b = 'table', 'chair'
>>> a, b = b, a
>>> print(a)
# chair
>>> print(b)
# table
The index Method
The index
method allows you to find the index of a value by passing its name:
>>> furniture = ['table', 'chair', 'rack', 'shelf']
>>> furniture.index('chair')
# 1
Adding Values
append()
append
adds an element to the end of a list
:
>>> furniture = ['table', 'chair', 'rack', 'shelf']
>>> furniture.append('bed')
>>> furniture
# ['table', 'chair', 'rack', 'shelf', 'bed']
insert()
insert
adds an element to a list
at a given position:
>>> furniture = ['table', 'chair', 'rack', 'shelf']
>>> furniture.insert(1, 'bed')
>>> furniture
# ['table', 'bed', 'chair', 'rack', 'shelf']
Removing Values
del()
del
removes an item using the index:
>>> furniture = ['table', 'chair', 'rack', 'shelf']
>>> del furniture[2]
>>> furniture
# ['table', 'chair', 'shelf']
>>> del furniture[2]
>>> furniture
# ['table', 'chair']
remove()
remove
removes an item with using actual value of it:
>>> furniture = ['table', 'chair', 'rack', 'shelf']
>>> furniture.remove('chair')
>>> furniture
# ['table', 'rack', 'shelf']
Removing repeated items
If the value appears multiple times in the list, only the first instance of the value will be removed.
pop()
By default, pop
will remove and return the last item of the list. You can also pass the index of the element as an optional parameter:
>>> animals = ['cat', 'bat', 'rat', 'elephant']
>>> animals.pop()
'elephant'
>>> animals
['cat', 'bat', 'rat']
>>> animals.pop(0)
'cat'
>>> animals
['bat', 'rat']
Sorting values with sort()
>>> numbers = [2, 5, 3.14, 1, -7]
>>> numbers.sort()
>>> numbers
# [-7, 1, 2, 3.14, 5]
furniture = ['table', 'chair', 'rack', 'shelf']
furniture.sort()
furniture
# ['chair', 'rack', 'shelf', 'table']
You can also pass True
for the reverse
keyword argument to have sort()
sort the values in reverse order:
>>> furniture.sort(reverse=True)
>>> furniture
# ['table', 'shelf', 'rack', 'chair']
If you need to sort the values in regular alphabetical order, pass str.lower
for the key keyword argument in the sort() method call:
>>> letters = ['a', 'z', 'A', 'Z']
>>> letters.sort(key=str.lower)
>>> letters
# ['a', 'A', 'z', 'Z']
You can use the built-in function sorted
to return a new list:
>>> furniture = ['table', 'chair', 'rack', 'shelf']
>>> sorted(furniture)
# ['chair', 'rack', 'shelf', 'table']
The Tuple data type
The key difference between tuples and lists is that, while tuples
are immutable objects, lists
are mutable. This means that tuples cannot be changed while the lists can be modified. Tuples are more memory efficient than the lists.
>>> furniture = ('table', 'chair', 'rack', 'shelf')
>>> furniture[0]
# 'table'
>>> furniture[1:3]
# ('chair', 'rack')
>>> len(furniture)
# 4
The main way that tuples are different from lists is that tuples, like strings, are immutable.
Converting between list() and tuple()
>>> tuple(['cat', 'dog', 5])
# ('cat', 'dog', 5)
>>> list(('cat', 'dog', 5))
# ['cat', 'dog', 5]
>>> list('hello')
# ['h', 'e', 'l', 'l', 'o']