# Dask

Dask is a parallel computing library for Python that scales Pandas, NumPy, and Scikit-learn to larger-than-memory datasets. It breaks data into chunks and builds a task graph that is executed lazily. Dask DataFrames mirror the Pandas API, making it easy to adapt existing code for larger datasets without switching ecosystems.

Visit the following resources to learn more:

- [@official@Dask Tutorial](https://tutorial.dask.org/)
- [@video@Intro to Dask](https://www.youtube.com/watch?v=z18qjLu-Mw4&list=PLeDTMczuyDQ8S73cdc0PrnTO80kfzpgz2)