Dask is a Python library that allows users to scale their code and data processing tasks across a cluster of machines. It is designed to be used on compute clusters, enabling users to run their code in parallel and make full use of the available resources. It is particularly useful for handling large datasets and performing complex computations that would be difficult or impossible to do on a single machine.
Read more
No items found.
Why is Dask better on Shakudo?
Why is Dask better on Shakudo?
Why Shakudo?
Stress-Free infrastructure
Simplify cloud implementation with Shakudo's seamless deployment on your existing provider or our managed infrastructure solution with industry best practices.
Integrate with everything
Empower your team with the tools they know and love with seamless integration to popular frameworks and tools.
Streamlined Workflow
Streamline production pushes – no DevOps skills needed. Build and launch solutions on the data team-friendly platform with ease.
Ensure Compatibility Across Your Data Stack
Chat with one of our experts to answer your questions about your data stack, data tools you need, and deploying Shakudo on your cloud.