2. Efficient Null Handling in Pandas: Selecting Rows with Missing Values
   Methods to Select Rows with Nulls in pandas:There are two primary methods to achieve this:Using any() with isnull():This method leverages the any() function from NumPy to check if any element in a boolean Series (created by isnull()) is True (meaning there's a null value).import pandas as pd import numpy as np # Sample DataFrame
3. Mastering Data with None: When a Value Isn't There
   In Python, there's no exact equivalent of a "null" value like in some other programming languages. However, Python provides the None object to represent the absence of a meaningful value