Dask is a flexible parallel computing library for analytics, enabling users to scale data science and machine learning workflows over clusters of machines.
Dask lets you take your Python code that usually runs on your computer and run it on many computers at once, making it faster and able to handle bigger data.
Dask integrates seamlessly with the Python ecosystem, scaling operations from a single machine to clusters without the complexity of deploying separate big data systems.