2. Identifying and Removing Duplicates in Python with pandas
   Finding Duplicate RowsPandas provides two main methods for identifying duplicate rows in a DataFrame:duplicated() method: This method returns a Boolean Series indicating whether each row is a duplicate (True) or not (False). You can control how duplicates are identified using the keep parameter:keep='first': Marks duplicates as True except for the first occurrence
3. Filtering Duplicates by Column in Pandas (Highest Value Wins)
   Scenario:You have a DataFrame with duplicate rows based on certain columns (e.g., column A), and you want to keep only one row for each unique combination in those columns