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2 | 2 |
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3 | 3 | # NCAR Dask Tutorial |
4 | 4 |
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5 | | -[](https://github.com/ProjectPythia/cookbook-template/actions/workflows/nightly-build.yaml) |
6 | | -[](http://binder.projectpythia.org/v2/gh/ProjectPythia/dask-cookbook/main?labpath=notebooks) |
| 5 | +[](https://github.com/ProjectPythia/dask-cookbook/actions/workflows/nightly-build.yaml) |
| 6 | +[](https://binder.projectpythia.org/v2/gh/ProjectPythia/dask-cookbook/main?labpath=notebooks) |
7 | 7 | [](https://zenodo.org/badge/latestdoi/610934658) |
8 | 8 |
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9 | 9 | This Project Pythia Cookbook provides a comprehensive guide to understanding the basic concepts and collections of Dask as well as its integration with Xarray. |
@@ -39,12 +39,12 @@ Finally, we will discuss some best practices regarding Dask + Xarray. |
39 | 39 |
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40 | 40 | ## Running the Notebooks |
41 | 41 |
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42 | | -You can either run the notebook using [Binder](https://mybinder.org/) or on your local machine. |
| 42 | +You can either run the notebook using [Binder](https://binder.projectpythia.org/) or on your local machine. |
43 | 43 |
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44 | 44 | ### Running on Binder |
45 | 45 |
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46 | 46 | The simplest way to interact with a Jupyter Notebook is through |
47 | | -[Binder](https://mybinder.org/), which enables the execution of a |
| 47 | +[Binder](https://binder.projectpythia.org/), which enables the execution of a |
48 | 48 | [Jupyter Book](https://jupyterbook.org) in the cloud. The details of how this works are not |
49 | 49 | important for now. All you need to know is how to launch a Pythia |
50 | 50 | Cookbooks chapter via Binder. Simply navigate your mouse to |
@@ -78,7 +78,7 @@ If you are interested in running this material locally on your computer, you wil |
78 | 78 |
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79 | 79 | ```bash |
80 | 80 | conda env create -f environment.yml |
81 | | - conda activate dask-cookbook-example |
| 81 | + conda activate dask-cookbook-dev |
82 | 82 | ``` |
83 | 83 |
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84 | 84 | 1. Move into the `notebooks` directory and start up Jupyterlab |
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