Dask is a Python library that enables parallel computing by breaking down large computations into smaller tasks and scheduling their execution across multiple cores or machines. It provides familiar APIs compatible with NumPy and Pandas, allowing you to work with datasets larger than memory by processing them in chunks. Developers use Dask when they need to scale existing PyData workflows without rewriting code for a distributed computing framework.