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Lists in Python

A list is one of the most commonly used data structures in Python. It allows us to store multiple values in a single variable. Lists are flexible, easy to use, and help organize data efficiently.

What is a List?

A list is an ordered collection of items enclosed within square brackets []. The items can be of the same or different data types.

Example:
numbers = [10, 20, 30, 40, 50]

In this example, numbers is a list containing five integer values.

Features of Lists

  1. Ordered

Lists maintain the order of elements as they are added.
fruits = ["Apple", "Banana", "Orange"]

  1. Mutable

Lists can be modified after creation.
fruits[1] = "Mango"

  1. Allow Duplicate Values
    Lists can contain duplicate elements.
    numbers = [1, 2, 2, 3, 3]

  2. Store Different Data Types
    A list can contain integers, strings, floats, and even other lists.
    data = [10, "Python", 3.14, True]

Common List Operations

1.Adding Elements
numbers = [1, 2, 3]
numbers.append(4)

2.Removing Elements
numbers.remove(2)

3.Accessing Elements
print(numbers[0])

4.Finding Length
print(len(numbers))

5.Sorting a List
numbers.sort()

6.Reversing a List
numbers.reverse()

Applications of Lists

  • Storing student records
  • Managing employee details
  • Maintaining product inventories
  • Processing large datasets
  • Implementing stacks and queues

Advantages of Lists

  • Easy to create and use
  • Dynamic size
  • Supports various built-in methods
  • Can store multiple data types

List Indexing

Each element in a list has an index position starting from 0.

fruits = ["Apple", "Banana", "Orange"]
print(fruits[0])  # Apple
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Negative Indexing

Python allows accessing elements from the end of the list using negative indexes.

print(fruits[-1])  # Orange
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List Slicing

Slicing is used to extract a portion of a list.

numbers = [10, 20, 30, 40, 50]
print(numbers[1:4])  # [20, 30, 40]
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Iterating Through a List

Lists can be traversed using loops.

for item in fruits:
    print(item)
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Nested Lists

A list can contain another list.

matrix = [[1, 2], [3, 4], [5, 6]]
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List Concatenation

Two or more lists can be combined using the '+' operator.

list1 = [1, 2]
list2 = [3, 4]
print(list1 + list2)
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List Repetition

Lists can be repeated using the '*' operator.

numbers = [1, 2]
print(numbers * 3)
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Membership Operators

We can check whether an element exists in a list.

fruits = ["Apple", "Banana", "Orange"]
print("Apple" in fruits)
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List Comprehension

A concise way to create lists.

squares = [x*x for x in range(1, 6)]
print(squares)
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Built-in Functions Used with Lists

  • len() – Returns the number of elements.
  • max() – Returns the largest element.
  • min() – Returns the smallest element.
  • sum() – Returns the sum of all elements.
  • sorted() – Returns a sorted list.

Key Takeaways

  • Lists are ordered and mutable.
  • Lists support indexing and slicing.
  • Lists can store multiple data types.
  • Lists provide many built-in methods for data manipulation.
  • Lists are one of the most frequently used data structures in Python.

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