$1.$ Explain the importance of NumPy in data analytics. Provide examples of how it simplifies operations on arrays and matrices.

$2.$ Discuss the key features of Pandas and how it differs from NumPy. Illustrate with examples of DataFrame operations.

$3.$ Create a multi$-$dimensional list and explain its use in Python programming. Provide a real$-$world scenario where it can be applied.

$4.$ Write a Python program using a loop to iterate through a dictionary and print its keys and values. Explain its significance in data manipulation.

$5.$ Describe the role of Matplotlib in data visualization. Plot a sample graph to show.$$

$6.$ Differentiate between lists and tuples in Python. Provide examples to highlight their usage and advantages in specific scenarios.

$7.$ Reflect on a scenario where you used loops effectively in solving a business problem. Explain the steps and logic used in your code.

$8.$ Explain the process of creating and manipulating a Pandas DataFrame. Use an example to demonstrate sorting data.