Data Structures in Python? - with practical example

Data Structures in Python are used to store and organize data in a way that makes it easy to access and manipulate. There are several built-in data structures in Python such as lists, tuples, dictionaries, and sets. Example 1: Using Lists Lists are one of the most commonly used data structures in Python. They are ordered, mutable, and can contain elements of different data types. Step 1: Creating a list 
fruits = ['apple', 'banana', 'orange', 'grape']

Step 2: Accessing elements in a list 
print(fruits[1])  # Output: banana

Step 3: Adding elements to a list 
fruits.append('kiwi')
print(fruits)  # Output: ['apple', 'banana', 'orange', 'grape', 'kiwi']

Example 2: Using Dictionaries Dictionaries are another useful data structure in Python that store data in key-value pairs. Step 1: Creating a dictionary 
person = {'name': 'John', 'age': 30, 'city': 'New York'}

Step 2: Accessing values in a dictionary 
print(person['age'])  # Output: 30

Step 3: Modifying values in a dictionary 
person['age'] = 35
print(person)  # Output: {'name': 'John', 'age': 35, 'city': 'New York'}

By using different data structures in Python, you can efficiently manage and manipulate data in your programs.

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