The correct answer is C. Dask.
Dask is a Python library that provides high-performance parallel computing capabilities. It is often used in scientific computing, data analysis, and machine learning. Dask can be used to create distributed data structures, which can be used to process large amounts of data more efficiently.
Seaborn is a Python library that provides visualization tools for data analysis. It is often used in conjunction with NumPy and Pandas. Seaborn can be used to create beautiful and informative visualizations of data.
Xarray is a Python library that provides tools for working with multidimensional arrays. It is often used in climate science, weather forecasting, and other fields where multidimensional data is common. Xarray can be used to read, write, and manipulate multidimensional arrays.
Dask is a more general-purpose library than Seaborn or Xarray. It can be used for a wider range of tasks, including data analysis, machine learning, and scientific computing. Seaborn and Xarray are more specialized libraries that are designed for specific tasks. Seaborn is designed for data visualization, while Xarray is designed for working with multidimensional arrays.