A Dask Bag is an abstraction over generic Python objects. It performs map, filter, fold, and groupby operations in the parallel interface of smaller Python objects using a Python iterator. This execution is similar to PyToolz or the PySpark RDD. Dask Bags are more suitable for unstructured and semi-structured datasets such as text, JSON, and log files. They perform multiprocessing for computation for faster processing but will not perform well with inter-worker communication. Bags are immutable types of structures that cannot be changed and are slower compared to Dask Arrays and DataFrames. Bags also perform slowly on the groupby operation, so it is recommended that you use foldby instead of groupby.
Now, let's create various Dask Bag objects and perform operations on them.
