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Christiana Cromer •
Pavithra Eswaramoorthy •
Distributed Data Science and Oceanography with Dask
cloud computing, Dask, data science, distributed computing, oceanography, Use Cases
Pavithra Eswaramoorthy •
Adam Breindel •
Dask Under the Hood: Scheduler Refactor
Dask, Dask Scheduler, data science, machine learning, Python
Matt Rocklin •
James Bourbeau •
Pavithra Eswaramoorthy •
Pavithra Eswaramoorthy •
Scaling up Geospatial Data Science with Distributed Computing
Christiana Cromer •
Science Thursday: Distributed Data Science and Oceanography with Dask
Pavithra Eswaramoorthy •
Michal Mucha •
Faster Hyperparameter Tuning in the Cloud
Dask, data management, data science, hyperparameter optimization, optuna
Michal Mucha Keith Pasko •
Analyzing Home Energy Use with Distributed Python
Dask, distributed computing, Energy, Jupyter, Python, Use Cases
James Bourbeau •
Pavithra Eswaramoorthy •
Scalable Hyperparameter Optimization with Optuna and Dask
Dask, hyperparameter optimization, machine learning, optuna, scalable python
Pavithra Eswaramoorthy •
Science Thursday: Scaling up Geospatial Data Science with Distributed Computing
Dask, data science, distributed computing, geospatial data science, PyData, Use Cases
Adam Breindel •
Work Stealing in the Dask Scheduler
Dask, Dask Scheduler, data science, machine learning, Work Stealing
Michal Mucha •
XGBoost – frictionless training on datasets too big for the memory
The Coiled Team •