PyHEP2022 Dask Tutorial

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PyHEP2022 Uproot plus Dask

(13:50)

PyHEP2022 Enabling Dask Interoperability with XRootD Storage Systems

(8:59)

PyHEP2022 JetNet library for machine learning in high energy physics

(10:58)

Tiffany Chu - The Dask at Hand: Using Dask to Speed up the High-Quality Transit Areas dataset

(20:17)

PyHEP2022 Lessons learned converting a production grade Python CMS analysis to distributed RDataFram

(33:48)

PyHEP2022 Uproot Awkward Array hist Vector

(29:2)

Dask Demo Day - 2022-10-27

(57:46)

Dask Tutorial: The PyData Ecosystem- Natalia Clementi, Julia Signell, Jacob Tomlinson | SciPy 2022

(2:7:10)

Richard Pelgrim - Data Science at Scale with Dask | PyData London 2022

(1:24:9)

Tom Augspurger: Scalable Machine Learning with Dask | PyData New York 2019

(38:28)

Patrick Hoefler - Dask DataFrame 2.0: Comparison to Spark, DuckDB and Polars | PyData London 2024

(41:52)

TALK / Kevin Kho / Large Scale Data Validation (with Spark and Dask)

(25:53)

Parallel and Distributed Computing in Python with Dask | SciPy 2020 | Bourbeau, McCarty, Pothina

(3:48:36)

Scale EDA \u0026 ML Workloads To Clusters \u0026 Back With Dask I PyData Chicago January 2022 Meetup

(42:49)

Dask Tutorial: In-Depth Tutorial from Dask Community Leader Jacob Tomlinson

(1:33:18)

Parallelizing Scientific Python with Dask | SciPy 2018 Tutorial | James Crist, Martin Durant

(3:11:47)

PyHEP2022 Skyhook Managing Columnar Data Within Storage

(11:29)

How To Process A 1 TB Dataframe with Dask (and Coiled)

(50)

Aaron Richter - High performance Jupyter: faster workloads with Dask and RAPIDS | JupyterCon 202

(27:50)

PyHEP2022 Awkward RDataFrame Tutorial

(28:19)

PyHEP2022 Histograms as Objects

(30:24)

PyHEP2022 End to end physics analysis with Open Data the Analysis Grand Challenge

(59:44)

Hendrik Makait - Observability for Dask in Production | Pydata London 2024

(34:41)

PyHEP2022 Automatic Resource Management with Coffea and Work Queue for analysis workflows

(27:35)

Guido Imperiale: Introducing the Dask Active Memory Manager

(29:29)

PyHEP 2022 Day 5 (2022-09-16)

(4:22:11)

Speeding up Big Data \u0026 ML in Python \u0026 Pandas with Dask

(41:10)