Which tool is best suited for structured data operations in machine learning?

Pandas is the most suitable tool for structured data operations in machine learning due to its powerful capabilities for data manipulation and analysis. It provides data structures like Series and DataFrames that are specifically designed for handling tabular data, which is often the format employed in machine learning tasks. With its user-friendly functions, Pandas allows users to effectively perform tasks like data cleaning, transformation, merging, and aggregation, all of which are crucial steps before feeding data into machine learning models.

Furthermore, Pandas integrates seamlessly with other libraries commonly used in the machine learning ecosystem, enhancing its ability to preprocess and manage large datasets efficiently. Its intuitive syntax and rich functionality make it a go-to library for data scientists when working with structured data.