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I have opened a pull request to the conda-forge feedstock of `dask-cuda` to avoid installing unnecessary dependency (`pyarrow`, `bokeh`) by removing `dask` and keeping `dask-core`: https://github.com/…
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My understanding is that prediction is always a row-wise broadcastable operation, making it trivially parallelizable across parallel collections like dask.array/dask.dataframe. We implement this in d…
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Hey, first of all, thanks a lot for this great package!
However, I had some issues following your Bivariate Ligand-Receptor Relationships tutorial. When running the following code from your tutori…
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If I use `chunks='auto'` for reading the subset file:
```python
xarray.open_dataset(subset_filename, chunks='auto')
```
Then [extrapolate_water_elevation_to_dry_areas()](https://github.com/noaa-o…
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Can we use Dask to speed up the preprocessing phase of Scanpy by taking advantage of multiple CPUs (or GPUs)?
**TLDR**: Dask can speed up Zheng17, but it needs lots of cores and a rewritten impleme…
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Hi there!
Currently the docs state:
> However, it does not currently support the following:
>
> Slicing with lists in multiple axes: `x[[1, 2, 3], [3, 2, 1]]`
>
> This is straightforward t…
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[Youtube video 30 min](https://www.youtube.com/watch?v=FXsgmwpRExM&t=0s&list=PLz25Xi4FoZjwZHnYL1TT2fHbFagH6DLhR&index=3)
- asking for dask workers through scheduler
- adding or removing workers fr…
seb-1 updated
5 years ago
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I tried to run `where` with chunked `cupy` arrays:
```python
In [1]: import xarray as xr
...: import cupy
...: import dask.array as da
...:
...: arr = xr.DataArray(cupy.arange(4), d…
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I'm trying to setup a simple DaskAutoscaler on Kubernetes using YAML files, but somehow the auto scaler failes to be created with the following error
```bash
Error Logging 45s kopf Timer 'dask…
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_As an analyzer I want to specify my ServiceX queries using awkward syntax so I can perform row-level cuts without learning a new language_
# Description
We will use Awkward DASK to create a task …