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Dask
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hmeiland committed Jul 5, 2024
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To run this Dask example, you'll have to choose the Python 3.8 - AzureML kernel in the notebook, since dask is already installed in that virtual env.
Next start the scheduler by running:
```
from dask.distributed import Client, LocalCluster, progress
client = Client(LocalCluster(ip='0.0.0.0', scheduler_port=12345, n_workers=0))
client
```

Make sure to check the ip-address of your Compute vm, you can find it at the comm field in the Scheduler box:
![Scheduler address](scheduler_address.png)

Binary file added examples/Dask/scheduler_address.png
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