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Pavithra Eswaramoorthy •
Matt Powers •
Laurie Thompson •
Pavithra Eswaramoorthy •
Adam Breindel •
Dask Under the Hood: Scheduler Refactor
Dask, Dask Scheduler, data science, machine learning, Python
Michal Mucha Keith Pasko •
Analyzing Home Energy Use with Distributed Python
Dask, distributed computing, Energy, Jupyter, Python, Use Cases
Pavithra Eswaramoorthy •
Adam Breindel •
Christiana Cromer •
Predicting Voter Turnout in the 2020 Presidential Election with Coiled and Dask
2020 election, Dask, machine learning, PyData, Python, US presidential election, Use Cases, voter turnout
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
Christiana Cromer •
Data Processing at Blue Yonder: One Supply Chain at a Time
Dask, data science, Kartothek, machine learning, parquet, Python, SQL, supply chain management
Christiana Cromer •
Design Principles of Distributed Systems: Dask and PySpark
Dask, data science, machine learning, Python, scalable python, Spark, SQL
James Bourbeau •
Dask, dask tutorial, dask use cases, machine learning, open source software, Python, scaling data science
Christiana Cromer •
Scalable Python Deployments as a Service
custom software environments, Dask, distributed computing, OSS, Python