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Michal Mucha •
Faster Hyperparameter Tuning in the Cloud
Dask, data management, data science, hyperparameter optimization, optuna
James Bourbeau •
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
Pavithra Eswaramoorthy •
Pavithra Eswaramoorthy •
Pavithra Eswaramoorthy •
Spark Alternatives – Is Spark Still Relevant? Dask vs Spark vs RAPIDS
Adam Breindel •
Under the Hood with Dask’s Cluster Autoscaling
autoscaling, Dask, dask cluster autoscaling, data science, distributed computing
Matt Rocklin •
Dask, data science, jobs, Jupyter, machine learning, OSS, xarray
Pavithra Eswaramoorthy •
Dask, data science, distributed computing, machine learning, open source software, parallel computing
James Bourbeau •
Dask, dask-sql, data science, machine learning, SQL, XGBoost
Pavithra Eswaramoorthy •
Dask, data science, distributed computing, distributed machine learning, parallel computing, PyData, Python
James Bourbeau •
Dask, data science, Jupyter, machine learning, Python, scaling data science
Adi •
Data Processing at Blue Yonder: One Supply Chain at a Time
Dask, data science, Kartothek, machine learning, parquet, Python, SQL, supply chain management
Adi •
Design Principles of Distributed Systems: Dask and PySpark
Dask, data science, machine learning, Python, scalable python, Spark, SQL
Adam Breindel •
How is Coiled’s Dask training different?
Dask, Dask dashboards, data science, machine learning, OSS, Pandas, PyData, Python training, scalable python, Tensorflow, XGBoost