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Matthew Rocklin | Using Dask for Parallel Computing in Python
Dask - A Faster Alternative to Pandas: Performance Comparison and Analysis
High-Performance Data Access for Dask | Dask Summit 2021
Scaling PyData with Dask - Martin Durant and Jim Crist
Parallel processing with Dask Delayed
Tom Augspurger, James Crist, Martin Durant - Parallel Data Analysis with Dask - PyCon 2018
PLOTCON 2016: Matthew Rocklin, Visualizing Distributed Computations with Dask and Bokeh
Keith Kraus: High-Performance Data Science at Scale with RAPIDS, Dask, and GPUs | PyData NYC 2019
Dask Futures for General Parallelism
#207: Parallelizing computation with Dask
Saturn Cloud Workshop: Introduction to PyTorch with Dask: Batch Inference
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Last Updated: October 29, 2026
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Summary
If you're wondering how Plotly and # Are you struggling with handling large datasets efficiently in Pandas? In this video, we explore Speakers - Martin Durant, Joris Van den Bossche, Richard Zamora PyData DC 2018 This hands-on tutorial teaches students to scale Pandas and Scikit-Learn on a cluster with Speakers: Tom Augspurger, James Crist, Martin Durant The libraries that power data analysis in Python are essentially limited to a ... Full show notes at talkpython.fm/207 What if you could write standard numpy and pandas code but have it run on a ... In this hands-on workshop, attendees will have the opportunity to see how image classification tasks in PyTorch can be easily ...
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