Day 23: Demonstrating List Operations

Task: Practice various list operations using Python.

Description:
Today, you will explore how to manipulate lists using various built-in methods. Lists are one of the most versatile data structures in Python, and understanding these methods will help you manage collections of data efficiently.

You will implement a function list_operations_demo() that demonstrates the following operations step-by-step:

Operations to Perform:

  • append(): Add an element to the end of a list.
  • extend(): Extend a list with elements from another list.
  • insert(): Insert an element at a specified index.
  • remove(): Remove the first occurrence of a specific value.
  • pop(): Remove an element by its index.
  • index(): Find the index of the first occurrence of a value.
  • count(): Count the occurrences of a specific value in the list.
  • reverse(): Reverse the list.
  • sort(): Sort the list in ascending order.
  • clear(): Remove all elements from the list.

Expected Outputs

Starting List

[10, 20, 30, 40]

Step-by-Step Results

  1. After append(50):
    [10, 20, 30, 40, 50]

  2. After extend([60, 70]):
    [10, 20, 30, 40, 50, 60, 70]

  3. After insert(2, 25):
    [10, 20, 25, 30, 40, 50, 60, 70]

  4. After remove(30):
    [10, 20, 25, 40, 50, 60, 70]

  5. After pop(3):
    [10, 20, 25, 50, 60, 70]
    (Removed element: 40)

  6. Index of 50:
    3

  7. Count of 20:
    1

  8. After reverse():
    [70, 60, 50, 25, 20, 10]

  9. After sort():
    [10, 20, 25, 50, 60, 70]

  10. After clear():
    []

Conclusion

Lists in Python offer a wide range of methods to perform various operations efficiently. By mastering these methods, you can handle dynamic datasets with ease. Today’s task reinforces how to manipulate and transform lists step-by-step, ensuring you’re well-equipped to tackle real-world problems involving collections of data.