What are some advanced topics in Dask that I should know about?
Some advanced topics in Dask include performance tuning, custom schedulers, and using Dask with machine learning frameworks.
Can you explain how to tune performance in Dask?
To tune performance in Dask, you can optimize task graphs, adjust the number of workers, and manage memory usage effectively.
What are custom schedulers and when should I use them?
Custom schedulers allow you to define how tasks are executed. You might use them for specialized workloads or to integrate with other systems.
How does Dask handle large datasets?
Dask handles large datasets by breaking them into smaller chunks and processing them in parallel, which helps manage memory efficiently.
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