In Python, which library provides tools for working with complex data structures and data manipulation, often used for data analysis in the financial sector?

The correct answer is B. Dask.

Dask is a Python library that provides high-performance parallel computing capabilities. It is often used for data analysis in the financial sector, as it can handle large datasets and complex data structures. Dask can be used to parallelize tasks such as data loading, cleaning, and analysis. This can significantly speed up the processing of large datasets.

Seaborn is a Python library for statistical visualization. It is built on top of Matplotlib, but provides a higher-level API that makes it easier to create complex visualizations. Seaborn is often used for data analysis in the financial sector, as it can be used to create visualizations that