Skip to main content

List Methods in Python

 


Learning Sections         show

List Methods in Python

Python lists come with a variety of built-in methods that allow you to perform common operations. Here are some of the most frequently used list methods:

1. append()

Adds an item to the end of the list.

# Example of append()
my_list = [1, 2, 3]
my_list.append(4)
print(my_list)  # Output: [1, 2, 3, 4]

2. extend()

Extends the list by appending all the items from another list.

# Example of extend()
list1 = [1, 2, 3]
list2 = [4, 5]
list1.extend(list2)
print(list1)  # Output: [1, 2, 3, 4, 5]

3. insert()

Inserts an item at a specified position.

# Example of insert()
my_list = [1, 2, 4]
my_list.insert(2, 3)
print(my_list)  # Output: [1, 2, 3, 4]

4. remove()

Removes the first occurrence of a specified value.

# Example of remove()
my_list = [1, 2, 3, 4]
my_list.remove(3)
print(my_list)  # Output: [1, 2, 4]

5. pop()

Removes and returns an item at a specified index. If no index is specified, it removes and returns the last item.

# Example of pop()
my_list = [1, 2, 3, 4]
item = my_list.pop(2)
print(item)  # Output: 3
print(my_list)  # Output: [1, 2, 4]

6. clear()

Removes all items from the list.

# Example of clear()
my_list = [1, 2, 3, 4]
my_list.clear()
print(my_list)  # Output: []

7. index()

Returns the index of the first occurrence of a specified value.

# Example of index()
my_list = [1, 2, 3, 4]
index = my_list.index(3)
print(index)  # Output: 2

8. count()

Returns the number of occurrences of a specified value.

# Example of count()
my_list = [1, 2, 3, 2, 2]
count = my_list.count(2)
print(count)  # Output: 3

9. sort()

Sorts the list in ascending order by default. Can take a parameter reverse=True to sort in descending order.

# Example of sort()
my_list = [4, 2, 3, 1]
my_list.sort()
print(my_list)  # Output: [1, 2, 3, 4]

10. reverse()

Reverses the order of the list.

# Example of reverse()
my_list = [1, 2, 3, 4]
my_list.reverse()
print(my_list)  # Output: [4, 3, 2, 1]
Labels:

Popular posts from this blog

Introduction to OOPs in Python

  Learning Sections          show Introduction to Object-Oriented Programming (OOP) Object-Oriented Programming (OOP) is a programming paradigm that organizes software design around objects rather than actions and data rather than logic. It revolves around the concept of "objects", which are instances of classes. These objects encapsulate data, in the form of attributes or properties, and behaviors, in the form of methods or functions. OOP promotes modularity, reusability, and extensibility in software development. Key Concepts of OOP: Class: A class is a blueprint or template for creating objects. It defines the attributes (data) and methods (functions) that will characterize any object instantiated from that class. Object: An object is an instance of a class. It is a concrete realization of the class blueprint, containing actual values instead of placeholders for attributes. Encapsulation: Encapsulation is ...
Read more

Classes and Objects in Python

  Learning Sections          show Classes and Objects in Python In Python, a class is a blueprint for creating objects. An object is an instance of a class. Classes allow you to logically group data and functions in a way that is easy to manage and reuse. 1. Defining a Class To define a class in Python, you use the class keyword followed by the class name and a colon. Inside the class, you can define attributes and methods. Example: # Define a class class Person : # Class attribute species = 'Human' # Class method def greet ( self ): return 'Hello, I am a person.' # Create an object of the class person1 = Person () # Access class attribute print ( person1 . species ) # Output: Human # Call class method print ( person1 . greet ()) # Output: Hello, I am a person. 2. Creating Objects To create an object of a class, you simply call the class name followed by paren...
Read more

Exception Handling in Python

  Learning sections          show Exception Handling in Python Exception handling in Python is done through the use of try , except , else , and finally blocks. This allows you to catch and handle errors gracefully. Below are some examples and explanations: 1. Basic Try-Except The try block lets you test a block of code for errors. The except block lets you handle the error. # Example of basic try-except try : result = 10 / 0 except ZeroDivisionError : print ( "Cannot divide by zero!" ) # Output: # Cannot divide by zero! 2. Handling Multiple Exceptions You can catch multiple exceptions by specifying multiple except blocks. # Example of handling multiple exceptions try : result = 10 / 0 except ZeroDivisionError : print ( "Cannot divide by zero!" ) except TypeError : print ( "Invalid operation!" ) # Output: # Cannot divide by zero! 3. Using Else The e...
Read more