What are some advanced features of Dask?
Dask offers several advanced features like dynamic task scheduling, data locality optimization, and support for custom schedulers.
Can you explain dynamic task scheduling?
Dynamic task scheduling allows Dask to adaptively manage tasks based on the current state of the computation, optimizing resource usage.
How does Dask handle large datasets?
Dask can handle large datasets by breaking them into smaller chunks and processing them in parallel, which helps manage memory efficiently.
What is data locality optimization?
Data locality optimization in Dask ensures that computations are performed close to the data, reducing data transfer times and improving performance.
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