Python List

A list in Python is used to store the sequence of various types of data. Python lists are mutable type its mean we can modify its element after it created. However, Python consists of six data-types that are capable to store the sequences, but the most common and reliable type is the list.

A list can be defined as a collection of values or items of different types. The items in the list are separated with the comma (,) and enclosed with the square brackets [].

A list can be define as below

IIf we try to print the type of L1, L2, and L3 using type() function then it will come out to be a list.

Output:

<class 'list'>  <class 'list'>  

Characteristics of Lists

The list has the following characteristics:

• The lists are ordered.
• The element of the list can access by index.
• The lists are the mutable type.
• The lists are mutable types.
• A list can store the number of various elements.

Let’s check the first statement that lists are the ordered.

Output:

False  

Both lists have consisted of the same elements, but the second list changed the index position of the 5th element that violates the order of lists. When compare both lists it returns the false.

Lists maintain the order of the element for the lifetime. That’s why it is the ordered collection of objects.

Output:

True  

Let’s have a look at the list example in detail.

Output:

printing employee data...  Name : John, ID: 102, Country: USA  printing departments...  Department 1:  Name: CS, ID: 11  Department 2:  Name: IT, ID: 11  HOD Details ....  CS HOD Name: Mr. Holding, Id: 10  IT HOD Name: Mr. Bewon, Id: 11  <class 'list'> <class 'list'> <class 'list'> <class 'list'> <class 'list'>  

In the above example, we have created the lists which consist of the employee and department details and printed the corresponding details. Observe the above code to understand the concept of the list better.

List indexing and splitting

The indexing is processed in the same way as it happens with the strings. The elements of the list can be accessed by using the slice operator [].

The index starts from 0 and goes to length – 1. The first element of the list is stored at the 0th index, the second element of the list is stored at the 1st index, and so on.

We can get the sub-list of the list using the following syntax.

• The start denotes the starting index position of the list.
• The stop denotes the last index position of the list.
• The step is used to skip the nth element within a start:stop

Consider the following example:

Output:

1  2  3  4  [1, 2, 3, 4, 5, 6]  [1, 2, 3, 4, 5, 6, 7]  [3, 4, 5]  [2, 4, 6]  

Unlike other languages, Python provides the flexibility to use the negative indexing also. The negative indices are counted from the right. The last element (rightmost) of the list has the index -1; its adjacent left element is present at the index -2 and so on until the left-most elements are encountered.

Let’s have a look at the following example where we will use negative indexing to access the elements of the list.

Output:

5  [3, 4, 5]  [1, 2, 3, 4]  [3, 4]  

As we discussed above, we can get an element by using negative indexing. In the above code, the first print statement returned the rightmost element of the list. The second print statement returned the sub-list, and so on.

Updating List values

Lists are the most versatile data structures in Python since they are mutable, and their values can be updated by using the slice and assignment operator.

Python also provides append() and insert() methods, which can be used to add values to the list.

Consider the following example to update the values inside the list.

Output:

[1, 2, 3, 4, 5, 6]  [1, 2, 10, 4, 5, 6]  [1, 89, 78, 4, 5, 6]  [1, 89, 78, 4, 5, 25]  

The list elements can also be deleted by using the del keyword. Python also provides us the remove() method if we do not know which element is to be deleted from the list.

Consider the following example to delete the list elements.

Output:

[1, 2, 3, 4, 5, 6]  [1, 2, 10, 4, 5, 6]  [1, 89, 78, 4, 5, 6]  [1, 89, 78, 4, 5, 25]  

Python List Operations

The concatenation (+) and repetition (*) operators work in the same way as they were working with the strings.

Let’s see how the list responds to various operators.

L1*2 = [1, 2, 3, 4, 1, 2, 3, 4]

l1+l2 = [1, 2, 3, 4, 5, 6, 7, 8]

print(2 in l1) prints True.

for i in l1:       print(i)

1  2  3  4

len(l1) = 4 

Iterating a List

A list can be iterated by using a for – in loop. A simple list containing four strings, which can be iterated as follows.

Output:

John  David  James  Jonathan  

Adding elements to the list

Python provides append() function which is used to add an element to the list. However, the append() function can only add value to the end of the list.

Consider the following example in which, we are taking the elements of the list from the user and printing the list on the console.

Output:

Enter the number of elements in the list:5  Enter the item:25  Enter the item:46  Enter the item:12  Enter the item:75  Enter the item:42  printing the list items  25  46  12  75  42    

Removing elements from the list

Python provides the remove() function which is used to remove the element from the list. Consider the following example to understand this concept.

Example –

Output:

printing original list:   0 1 2 3 4   printing the list after the removal of first element...  0 1 3 4   

Python List Built-in functions

Python provides the following built-in functions, which can be used with the lists.

L1 = [1,2,3,4,5,6,7,8]  print(len(L1))      8

L1 = [12,34,26,48,72]  print(max(L1))  72

L1 = [12,34,26,48,72]  print(min(L1))  12

str = "Johnson"  s = list(str)  print(type(s))  <class list>

Let’s have a look at the few list examples.

Example: 1- Write the program to remove the duplicate element of the list.

Output:

[1, 2, 3, 55, 98, 65, 13, 29]  

Example:2- Write a program to find the sum of the element in the list.

Output:

The sum is: 67  

Example: 3- Write the program to find the lists consist of at least one common element.

Output:

The common element is: 2