List In Python Programming. The linked list

1
Introduction to Lists in Python
Lists are a fundamental data structure in
Python that can hold an ordered collection
of items.
Lists are mutable, which means that you
can change, add, or remove elements in a
list.
Lists are defined by enclosing elements in
square brackets [].

2
Creating Lists
Lists can contain elements of different data
types, such as integers, strings, or even
other lists.
You can create an empty list by using
empty square brackets: my_list = [].
Lists can be created with elements by
separating them with commas: my_list = [1,
'apple', True].

3
Accessing List Elements
You can access individual elements in a list
by using their index, which starts at 0 for
the first element.
Negative indices can be used to access
elements from the end of the list, starting
with -1 for the last element.
Slicing allows you to access a subset of
elements in a list by specifying a start and
end index: my_list[1:3].

4
Modifying Lists
You can modify elements in a list by
assigning a new value to a specific index:
my_list[0] = 10.
Appending elements to a list can be done
using the append() method:
my_list.append('banana').
Extending a list with another list can be
achieved using the extend() method:
my_list.extend([4, 5, 6]).

5
List Methods
The len() function can be used to
determine the number of elements in a list:
len(my_list).
The insert() method allows you to add an
element at a specific index in a list:
my_list.insert(1, 'orange').
The remove() method removes the first
occurrence of a specified value in a list:
my_list.remove('apple').

6
List Operations
You can concatenate two lists using the +
operator: new_list = my_list + [7, 8, 9].
The
operator can be used to repeat a list a
certain number of times: repeated_list =
my_list

7
List Comprehensions
List comprehensions provide a concise way
to create lists based on existing lists.
Syntax: [expression for item in iterable if
condition].
Example: squares = [x

8
Conclusion
Lists are versatile and powerful data
structures in Python that allow for efficient
manipulation and storage of elements.
Understanding how to work with lists is
essential for writing efficient and effective
Python code.
Practice using lists in different scenarios to
enhance your programming skills and
problem-solving abilities.

List In Python Programming. The linked list

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