[Tut] Python List Methods - Printable Version

[Tut] Python List Methods - Printable Version

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[Tut] Python List Methods - xSicKxBot - 03-07-2020

Python List Methods

The most important collection data type in Python is the

Code:
list

data type. You’ll use lists basically in all your future projects so take 3-5 minutes and study this short guide carefully.

You can also play my short video tutorial as you read over the methods:

Method |
Description

Code:
lst.append(x)

|
Appends element

Code:
x

to the list

Code:
lst

Code:
lst.clear()

|
Removes all elements from the list

Code:
lst

–which becomes empty.

Code:
lst.copy()

|
Returns a copy of the list

Code:
lst

. Copies only the list, not the elements in the list (shallow copy).

Code:
lst.count(x)

|
Counts the number of occurrences of element

Code:
x

in the list

Code:
lst

Code:
lst.extend(iter)

|
Adds all elements of an iterable

Code:
iter

(e.g. another list) to the list

Code:
lst

Code:
lst.index(x)

|
Returns the position (index) of the first occurrence of value

Code:
x

in the list

Code:
lst

Code:
lst.insert(i, x)

|
Inserts element

Code:
x

at position (index)

Code:
i

in the list

Code:
lst

Code:
lst.pop()

|
Removes and returns the final element of the list

Code:
lst

Code:
lst.remove(x)

|
Removes and returns the first occurrence of element

Code:
x

in the list

Code:
lst

Code:
lst.reverse()

|
Reverses the order of elements in the list

Code:
lst

Code:
lst.sort()

|
Sorts the elements in the list

Code:
lst

in ascending order.

If you’ve studied the table carefully, you’ll know the most important list methods in Python. Let’s have a look at some examples of above methods:

Code:
>>> l = []
>>> l.append(2)
>>> l
[2]
>>> l.clear()
>>> l
[]
>>> l.append(2)
>>> l
[2]
>>> l.copy()
[2]
>>> l.count(2)
1
>>> l.extend([2,3,4])
>>> l
[2, 2, 3, 4]
>>> l.index(3)
2
>>> l.insert(2, 99)
>>> l
[2, 2, 99, 3, 4]
>>> l.pop()
4
>>> l.remove(2)
>>> l
[2, 99, 3]
>>> l.reverse()
>>> l
[3, 99, 2]
>>> l.sort()
>>> l
[2, 3, 99]

Action Steps:

Master Python Sets (with Harry Potter Examples)
Master Python Dictionaries (the ultimate blog tutorial)
Join my free email computer science academy for continuous improvement in Python

Thanks for taking the time to reading this article!