dask
k-dense-ai1.8k installs
Scale your data workflows beyond available memory.
What it does
Guide parallel and distributed Python computations so users can process data larger than available memory.
When to use it
Use when datasets exceed RAM, pandas or NumPy operations need scaling, or custom computations need parallel execution with dependencies.
How to use it
It changes how the agent implements data computations by selecting Dask collections and schedulers appropriate to the project's data and operations.
What you provide
- An existing project
Uses
Good to know
- advertises something the task does not need
Latest review
What you need · 9
Requires Python 3.10+; the documented Zarr 3.4 integration needs Python 3.12+.
Requires dask 2026.8.0.
Access · 2
This skill
https://arxiv.org/abs/2609.00065
Read
Fetches the author's paper record
dask
Execute
Installs Dask array and dataframe support