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Setting up your execution layer: a companion guide
Setting up your execution layer
Run Dask locally yourself
Static Dask cluster in GCP with Helm
Architecture interlude
Using just the kubernetes agent
Using the DaskKubernetesEnvironment
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Setting up your execution layer
A companion guide
LL
Laura Lorenz
Welcome! This is a companion guide to the livestream screencast of this content on
YoutubeLive
.
First, let’s get the basics out of the way.
Start a python environment that has prefect installed. Here’s what I did:
conda create -n execution_demo python=3.8 prefect
(Forcing Python 3.8 will be relevant later when I use distributed dask resources that are using Python 3.8.)
Here’s the flow we’ll be working with. You could give it a run in-process if you like:
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