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docs.dask.org
Dask DataFrame helps you process large tabular data by parallelizing pandas, either on your laptop for larger-than-memory computing, or on a distributed cluster of computers. Just pandas: Dask DataFrames are a collection of many pandas DataFrames. The API is the same. The execution is the same. Large scale: Works on 100 GiB on a laptop, or 100 TiB on a cluster. Easy to use: Pure Python, easy to se
Dask is a Python library for parallel and distributed computing. Dask is: Easy to use and set up (it’s just a Python library) Powerful at providing scale, and unlocking complex algorithms and Fun 🎉 How to Use Dask¶ Dask provides several APIs. Choose one that works best for you: Dask Futures parallelize arbitrary for-loop style Python code, providing: Flexible tooling allowing you to construct cus
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