What are some common usage scenarios for Dask?
Dask is often used for parallel computing, data analysis, and machine learning. It can handle large datasets that don't fit into memory.
Can you give me an example of how Dask is used in data analysis?
Sure! Dask can be used to perform operations on large datasets, like filtering or aggregating, using a familiar Pandas-like API.
How does Dask compare to other frameworks like Apache Spark?
Dask is more flexible and integrates well with Python libraries, while Spark is optimized for distributed computing across clusters.
Is Dask suitable for real-time data processing?
Dask is primarily designed for batch processing, but it can be used for real-time data with some additional setup.
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