Everything Technical on List in Python--

Everything Technical on List in
Python
Published on: October 6, 2022
In this article, MarsDevs presents you with the technical information on
Python list, its syntax, examples, and different operations on python list.
What do we mean by Python List?
Although there are many data structures in Python, the sequence is the
most basic one among them. The sequence starts from zero indexes and
goes up to the length of sequence -1.
Python List is used for storing the sequence of different data types. A list is
a mutable (can be changed or modified) data type which implies we can
change the elements of a list even after they have been formed. We can
perform many operations on the list like adding, subtracting, multiplying,
slicing and comparing, etc.
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Here is the example of List,
Syntax of List :
In the list, the elements are enclosed within square brackets ([]) and
separated by comma (,).
Here is the example of a list containing different types of data,

In the above example, the list contains different data types (like integer,
floating point, string, boolean) all separated by commas and enclosed
within square brackets.
Parameters of List
Python List constructor takes a single argument which is nothing but the
collection or sequence like tuples, string, set, and dictionary.
Here is the example,
In the above example, we can notice that the list() method changes the
sequence from String and Tuple into List without altering the order of
elements sequence.
()

Return Values of list()
Here we will compare two lists so as to know more about the return type of
list.
Example-1:
Example-2:

In the above 2 examples, we can see both lists have the same number of
elements but the ordering is different. The example in which both lists have
the same elements and in the same order returns True while other
examples return False.
Python List Methods
Python has 6 data types that are used for storing the sequence but the list
is the most common and stable among them.
Here are the different list methods
1. append() - This method will add a new element to the end of the list.

2. extend() - This method extends the list by adding all specified iterables
like tuple, and list at the end of the list.
3. insert() - This method is used for inserting elements at the specified
index.

4. remove() - This method is used to remove the first occurrence of the
specified element from the list.
5. pop() - This method is used to remove the element at the specified
index. If the index is not passed by default it will remove the last element of
the list.

6. clear() - It will remove/delete all the elements of the list.
7. sort() - This method will sort the elements of the list in ascending order.

8. count() - This method will return the count of elements present in the
given argument.
9. copy() - It will return the copy of the list.
10. reverse() - This method will reverse the index location of the elements
in the list. The first element will be indexed last, the second with the second
last, and so on.

11. max() - returns maximum in the list.
13. index() - returns index of first occurrence of a number.

14. len() - returns size or length of the given list.
Now let's discuss these methods in a more detailed way with the help of
examples.
As discussed earlier python list is a collection of distinct types of elements
like integer, string, and boolean, all enclosed within square brackets and
elements separated by commas. A list can be empty and can have more
than 1 element, there is also a concept of a nested list in which we can add
a list inside another list. Like

Accessing the list elements
We can access the elements of the list by using the index operator []. In
Python, the index starts from 0 and goes from up there, if there is a list
containing 10 elements, then the index will range from 0 - 9. Also, if we try
to access the element out of range then we get index out of range error.
Only integers must be used as the index, otherwise, python will raise
TypeError.

The elements of the nested list can also be accessed. The negative
indexing is also supported by python, where the last element is
represented by the index -1, the second last by -2, and so on.

List Slicing
In order to access the sub-list of elements in a list, we can use the slicing
operator( : ). The syntax for slicing the list is as follows
list_name[start : stop : step]
Start tells about the starting index of the sublist with respect to the
given list
Stop tells about the stopping index of the sublist with respect to the
given list.
Step can be used to skip every nth element in the range.

Adding/Changing the list elements
Unlike String and Tuples, lists are mutable i.e they can be updated. We can
use the assignment operator (=) to update a single element or a group of
objects. The append() method is used to add a single element to the end
of the list and extend() method is used to add several elements.

Moreover, we can combine or concatenate two lists using the + operator.
Also, the * operator is used to repeat a list a given number of times.

The insert() method is also used to add elements at a certain index in the
list. Its syntax is like
list_name.insert(index, element)

Deleting List elements
If we know the index of the element which we want to delete then we can
use the del method, otherwise use the remove() method.
Suppose, we want to delete an entire list and then use the del method.

The remove() method is used to remove a specific element and pop() is
used to get rid of an element at a specific index. If no position is passed in
the pop() method, then it will remove and return the last element of the list
by default.

List Comprehension :
List comprehension is the simplest and efficient way of generating
new lists from iterables like tuples, arrays, strings, etc.

A list comprehension is made of brackets that will hold the expression that
is run for each element.
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