What is Dask?

Dask is a flexible parallel computing library for Python. It is used to scale Python code from single machines to large clusters, enabling parallel and distributed computing for tasks that are too large to fit in memory or too slow to execute on a single core. Dask integrates well with other Python libraries like NumPy, pandas, and scikit-learn, allowing users to parallelize existing workflows with minimal code changes. It is commonly used for data science, machine learning, and scientific computing tasks involving large datasets.