In the context of developing a machine learning model for a financial services company, you are tasked with preprocessing a large dataset containing customer transaction records. The dataset includes missing values, outliers, and requires extensive manipulation to extract meaningful features. Given the need for efficient data manipulation and exploration, especially with tabular data, which Python library would you primarily use to address these challenges? Choose the best option.