In computer programming, data types are basic building blocks for writing any kind of functionality. They help us work with different types of variables. Data types are the kind of values that are stored in variables. They can be primary and secondary.
Primary data types are the basic data types such as int, float, and char, while secondary data types are developed using primary data types such as lists, arrays, strings, and DataFrames. Dask offers three data structures for parallel operations: DataFrames, Bags, and Arrays. These data structures split data into multiple partitions and distribute them to multiple nodes in the cluster. A Dask DataFrame is a combination of multiple small pandas DataFrames and it operates in a similar manner. Dask Arrays are like NumPy arrays and support all the operations of Numpy. Finally, Dask Bags are used to process large Python objects.
Now, it's time to explore these data types. We'll start with Dask Arrays.
Dask Arrays
A...