Why scalable computing matters
This chapter covers
- Presenting what makes Dask a standout framework for scalable computing
- Demonstrating how to read and interpret directed acyclic graphs (DAGs) using a pasta recipe as a tangible example
- Discussing why DAGs are useful for distributed workloads and how Dask’s task scheduler uses DAGs to compose, control, and monitor computations
- Introducing the companion dataset
Welcome to Data Science with Python and Dask! Since you’ve decided to pick up this book, no doubt you are interested in data science and machine learning—perhaps you’re even a practicing data scientist, analyst, or machine learning engineer. However, I suspect that you’re either currently facing a significant challenge, or you’ve ...