Posted in 2018
Dask-jobqueue
- Oct 08, 2018
This work was done in collaboration with Matthew Rocklin (Anaconda), Jim Edwards (NCAR), Guillaume Eynard-Bontemps (CNES), and Loïc Estève (INRIA), and is supported, in part, by the US National Science Foundation Earth Cube program. The dask-jobqueue package is a spinoff of the Pangeo Project. This blogpost was previously published here
High level performance of Pandas, Dask, Spark, and Arrow
- Aug 28, 2018
This work is supported by Anaconda Inc
Building SAGA optimization for Dask arrays
- Aug 07, 2018
This work is supported by ETH Zurich, Anaconda Inc, and the Berkeley Institute for Data Science
Dask Release 0.17.2
- Mar 21, 2018
This work is supported by Anaconda Inc. and the Data Driven Discovery Initiative from the Moore Foundation.
Craft Minimal Bug Reports
- Feb 28, 2018
Following up on a post on supporting users in open source this post lists some suggestions on how to ask a maintainer to help you with a problem.
Dask Release 0.17.0
- Feb 12, 2018
This work is supported by Anaconda Inc. and the Data Driven Discovery Initiative from the Moore Foundation.
Credit Modeling with Dask
- Feb 09, 2018
This post explores a real-world use case calculating complex credit models in Python using Dask. It is an example of a complex parallel system that is well outside of the traditional “big data” workloads.
Pangeo: JupyterHub, Dask, and XArray on the Cloud
- Jan 22, 2018
This work is supported by Anaconda Inc, the NSF EarthCube program, and UC Berkeley BIDS