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fix typo
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match filenames for dask notebook
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cassienickles committed May 16, 2024
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2 changes: 1 addition & 1 deletion _quarto.yml
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Expand Up @@ -231,7 +231,7 @@ website:
- text: "Basic Dask"
href: notebooks/Advanced_cloud/basic_dask.ipynb
- text: "Function Replication Example"
href: notebooks/Advanced_cloud/dask_delayed01.ipynb
href: notebooks/Advanced_cloud/dask_delayed_01.ipynb
- text: "Kerchunk"
href: external/SWOT_to_kerchunk.ipynb
- text: "Dask, Kerchunk, & Zarr"
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2 changes: 1 addition & 1 deletion quarto_text/Advanced.qmd
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Expand Up @@ -12,7 +12,7 @@ subtitle: When you want to dive into optimizing cloud workflows

### **Dask**
- [Introduction to Dask Tutorial](../notebooks/Advanced_cloud/basic_dask.ipynb) - covers the basics of using Dask for parallel computing with NASA Earth Data completely in the cloud
- [Function Replication Example](../notebooks/Advanced_cloud/dask_delayed01.ipynb) - demonstrates a more complex example of replicating a function over many files in parallel using `dask.delayed()`. The example analysis generates spatial correlation maps of sea surface temperature vs sea surface height, using data sets available on PO.DAAC.
- [Function Replication Example](../notebooks/Advanced_cloud/dask_delayed_01.ipynb) - demonstrates a more complex example of replicating a function over many files in parallel using `dask.delayed()`. The example analysis generates spatial correlation maps of sea surface temperature vs sea surface height, using data sets available on PO.DAAC.

### Using **Kerchunk, Zarr & Dask** in the Cloud
- [Kerchunk JSON Generation](../external/SWOT_to_kerchunk.ipynb) - Generates a Kerchunk JSON file for a single PO.DAAC Collection, creates output for input in following tutorial.
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2 changes: 1 addition & 1 deletion quarto_text/Dask.qmd
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Expand Up @@ -5,4 +5,4 @@ subtitle: Utilize CPU's in parallel on your cloud virtual machine to speed up co

### **Notebooks**
- [Introduction to Dask Tutorial](../notebooks/Advanced_cloud/basic_dask.ipynb) - covers the basics of using Dask for parallel computing with NASA Earth Data completely in the cloud
- [Function Replication Example](../notebooks/Advanced_cloud/dask_delayed01.ipynb) - demonstrates a more complex example of replicating a function over many files in parallel using `dask.delayed()`. The example analysis generates spatial correlation maps of sea surface temperature vs sea surface height, using data sets available on PO.DAAC.
- [Function Replication Example](../notebooks/Advanced_cloud/dask_delayed_01.ipynb) - demonstrates a more complex example of replicating a function over many files in parallel using `dask.delayed()`. The example analysis generates spatial correlation maps of sea surface temperature vs sea surface height, using data sets available on PO.DAAC.

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