IceCube: Detecting Cosmic Rays Who am I? What problem am I trying to solve? How Dask Helps us Pain points of using Dask Technology that we use around Dask IceCube: Detecti...

Best Practices Start Small Use The Dashboard Avoid Very Large Partitions Avoid Very Large Graphs Learn Techniques For Customization Stop Using Dask When No Longer Needed Pers...

Delayed Example Decorator Real time Best Practices Delayed Sometimes problems don’t fit into one of the collections like dask.array ordask.dataframe . In these cases, user...

Joblib Joblib Many Scikit-Learn algorithms are written for parallel execution usingJoblib , which natively providesthread-based and process-based parallelism. Joblib is what ba...

Institutional FAQ For Management Briefly, what problem does Dask solve for us? Is Dask mature? Why should we trust it? Who else uses Dask? How does Dask compare with Apache Spar...

Array Examples Design Common Uses Scope Execution Array Dask Array implements a subset of the NumPy ndarray interface using blockedalgorithms, cutting up the large array i...

Parallel and Distributed Machine Learning Types of Scaling Scikit-Learn in 5 Minutes Hyperparameters Hyperparameter Optimization Single-machine parallelism with scikit-learn M...

Prioritizing Work Prioritizing Work When there is more work than workers, Dask has to decide which tasks toprioritize over others. Dask can determine these priorities automatic...

Scheduling Local Threads Local Processes Single Thread Dask Distributed (local) Dask Distributed (Cluster) Configuration Scheduling All of the large-scale Dask collection...

Community Discussion Asking for help Paid support Community Dask is used and developed by individuals at a variety of institutions. Itsits within the broader Python numeric ...