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  1. Python
  2. Problem Solving: Lists, Dictionaries, and Function-Based Design
Replacing Elements : Removing Elements
Problem Solving: Lists, Dictionaries, and Function-Based Design

Inserting Elements Lists

Python lists are mutable, which means you can add or remove elements after they're created. The insert() method is used to insert an element at a specific index in a list.

Syntax:

Python

list_name.insert(index, element)

  • list_name: The name of the list you want to modify.

  • index: The position where you want to insert the element. The element will be inserted before the existing element at that index.

  • element: The element you want to insert.

Example:

Python

fruits = ["apple", "banana", "cherry"]

fruits.insert(1, "grape")

print(fruits)  # Output: ['apple', 'grape', 'banana', 'cherry']

In this example, the insert() method inserts the string "grape" at index 1, which shifts the existing elements to the right.

Key Points:

  • Indexing starts from 0: The first element has an index of 0.

  • Inserting at the beginning: Use insert(0, element) to insert at the beginning of the list.

  • Inserting at the end: Use append(element) for convenience, as it's equivalent to insert(len(list), element).

  • Negative indices: You can use negative indices to insert elements from the end of the list. For example, insert(-1, element) inserts before the last element.

Additional Considerations:

  • Efficiency: For large lists, consider using more efficient methods like extend() to add multiple elements at once.

  • Immutability: If the element you're inserting is immutable (like a string or number), a new object will be created.

  • Mutable Objects: If the element is mutable (like another list or dictionary), inserting it will reference the same object.

By understanding the insert() method and its usage, you can effectively manipulate lists and add elements to specific positions in Python.

Replacing Elements Removing Elements
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