Dask helps you work with big data using tools you already know like pandas and NumPy. It runs on one computer or many computers. That makes it possible to handle data that is too large for your computer's memory.
You can use Dask to parallelize your code and make it faster. It can also spread work across a cluster of machines for massive datasets. This is great for data scientists and engineers who need to scale up their Python workflows.
Dask is easy to start with. You just change a few lines of code to go from pandas to Dask. It works with CSV, Parquet, and many other file types. You can also connect it to cloud storage like S3 and Google Cloud.
Add Dask skill to your workflow
Global
mkdir -p ~/.claude/skills/daskProject
mkdir -p .claude/skills/daskSource Repository
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