Dask is a powerful open-source library in Python designed for parallel computing, enabling users to work with large datasets that exceed memory limits. It provides a flexible framework for scaling computations from single machines to distributed clusters, making it ideal for data analysis, machine learning, and other computational tasks. Dask’s core features include dynamic task scheduling, multi-core execution, and support for various data structures like arrays, dataframes, and lists. By leveraging Dask, users can significantly enhance the performance of their data processing workflows, allowing for faster insights and more efficient resource utilization.