How do you handle and analyze large-scale datasets in Python using pandas and Dask?

Pandas is used for small to medium datasets, while Dask handles larger datasets that do not fit in memory by parallelizing operations. Dask integrates with pandas, offering similar functionality for big data.For example, Using Dask to analyze data larger than memory by distributing tasks.