Scalable Computing in Oceanography with Deepak Cherian
Deepak Cherian, a physical oceanographer and project scientist at the National Center for Atmospheric Research, joins Matt Rocklin and Hugo Bowne-Anderson to discuss scalable computing in oceanography and how he leverages Dask, Xarray, and terabyte-scale datasets to study the physics of oceans.
Notebook: https://github.com/dcherian/xarray-coiled-oceanography
00:00 Introducing Deepak Cherian!
06:10 What is physical oceanography?
09:40 Introducing Xarray and Dask in Python
16:55 Visualizing these large scale simulations
24:05 Reading entire sets of files as Xarray datasets
29:21 Dask + Xarray + Numba!
45:00 The wonders of map_blocks
Видео Scalable Computing in Oceanography with Deepak Cherian канала Coiled
Notebook: https://github.com/dcherian/xarray-coiled-oceanography
00:00 Introducing Deepak Cherian!
06:10 What is physical oceanography?
09:40 Introducing Xarray and Dask in Python
16:55 Visualizing these large scale simulations
24:05 Reading entire sets of files as Xarray datasets
29:21 Dask + Xarray + Numba!
45:00 The wonders of map_blocks
Видео Scalable Computing in Oceanography with Deepak Cherian канала Coiled
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Dask Tutorial | Intro to Dask | Scale Your Python Workloads | Course IntroductionDask on Single Machine with CoiledDask Live by Coiled: December 9th 2021Coiled + Streamlit | Integrating Coiled + Streamlit | Richard PelgrimFlaunt Your Inner no0b! Richard's Data Rants - Ep. 003Dask Live by CoiledIs Spark Still Relevant? | A Conversation with Eric Dill, Director of Data Science Platform at DTNRun Python Scripts with Coiled Functions & Coiled RunAnalyzing the National Water Model with Xarray, Dask, and CoiledDitch the Hype | Boring File Formats Amaze | Richard's Data Rants - Ep. 005Dask & Python | How to parallelize Python code with Dask Delayed | Pavithra EswaramoorthyPreventing Catastrophic Blackouts with Distributed Time Series AnalysisImaging Entire Continents with Dask: Sentinel-2Dask and Coiled MotivationRun Your Jupyter Notebooks in the CloudCoiled Tech Share | Improving Cluster Observability | Coiled EngineeringDask Infrastructure with Coiled for PangeoSchedule Python Jobs with Prefect and CoiledDask Futures for General ParallelismDistributed Computing & Data Science | Turn the Lens | Matt RocklinDask & AWS | Using Coiled with your own AWS Account | Kristopher Overholt