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Add link for tutorial (#246)
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.devcontainer/devcontainer.json

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{
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"build": {
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"dockerfile": "./Dockerfile",
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"context": "../conda",
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"context": "../conda"
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},
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"postCreateCommand": {
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"vscode": "mkdir ${containerWorkspaceFolder}/.vscode && cp ${containerWorkspaceFolder}/.devcontainer/tasks.json ${containerWorkspaceFolder}/.vscode/tasks.json",
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"vscode": "mkdir ${containerWorkspaceFolder}/.vscode && cp ${containerWorkspaceFolder}/.devcontainer/tasks.json ${containerWorkspaceFolder}/.vscode/tasks.json"
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},
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"hostRequirements": {
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"cpus": 2,
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"cpus": 2
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},
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"customizations": {
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"codespaces": {
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"openFiles": ["README.md"],
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"openFiles": ["README.md"]
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},
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"vscode": {
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"extensions": ["ms-toolsai.jupyter", "ms-python.python"],
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},
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},
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"extensions": ["ms-toolsai.jupyter", "ms-python.python"]
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}
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}
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}
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{
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"build": {
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"dockerfile": "../Dockerfile",
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"context": "../../conda",
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"context": "../../conda"
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},
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"postCreateCommand": {
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"jupyterlab": "mkdir /home/jovyan/.jupyter && cp ${containerWorkspaceFolder}/.devcontainer/scipy2023/jupyter_lab_config.py /home/jovyan/.jupyter/jupyter_lab_config.py",
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"vscode": "mkdir ${containerWorkspaceFolder}/.vscode && cp ${containerWorkspaceFolder}/.devcontainer/scipy2023/tasks.json ${containerWorkspaceFolder}/.vscode/tasks.json",
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"vscode": "mkdir ${containerWorkspaceFolder}/.vscode && cp ${containerWorkspaceFolder}/.devcontainer/scipy2023/tasks.json ${containerWorkspaceFolder}/.vscode/tasks.json"
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},
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"hostRequirements": {
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"cpus": 2,
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"cpus": 2
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},
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"customizations": {
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"codespaces": {
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"openFiles": ["workshops/scipy2023/README.md"],
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"openFiles": ["workshops/scipy2023/README.md"]
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},
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"vscode": {
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"extensions": ["ms-toolsai.jupyter", "ms-python.python"],
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},
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},
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"extensions": ["ms-toolsai.jupyter", "ms-python.python"]
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}
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}
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}

fundamentals/01_datastructures.ipynb

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"multi-dimensional arrays while `Dataset` combines multiple arrays.\n",
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"\n",
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"Both classes are most commonly created by reading data.\n",
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"To learn how to create a DataArray or Dataset manually, see the **Working with labeled data** tutorial.\n",
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"To learn how to create a DataArray or Dataset manually, see the [Creating Data Structures](01.1_creating_data_structures.ipynb) tutorial.\n",
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"\n",
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"Xarray has a few small real-world tutorial datasets hosted in this GitHub repository https://github.com/pydata/xarray-data.\n",
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"We'll use the [xarray.tutorial.load_dataset](https://docs.xarray.dev/en/stable/generated/xarray.tutorial.open_dataset.html#xarray.tutorial.open_dataset) convenience function to download and open the `air_temperature` (National Centers for Environmental Prediction) Dataset by name."

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