Dask is a large and useful Python library that is regularly used for parallel and distributed computing. If your Python code is written using a loop structure, it can be parallelized with Dask.
Firstly, it can help you construct customized pipelines and workflows, process a massive number of tasks, and execute them easily.
Secondly, Dask DataFrames provide the facilities for larger-than-memory execution, parallel execution, and distributed computation.
Lastly, Dask ML facilitates the use of scikit-learn and other machine learning libraries for parallel and distributed environments.
By the way, Dask Bags, which parallelize Python lists simply, are commonly used to process text or raw Python objects.
You can install Dask in the following way:
pip install dask
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