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 architecture allows for multi-core execution, which significantly speeds up data processing and analysis. By leveraging Dask, users can efficiently handle complex workflows, from data cleaning to feature engineering, ultimately enhancing productivity and performance in data-driven projects.