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Nebari-related updates (#32)
* Update README with setup instructions Signed-off-by: Pavithra Eswaramoorthy <[email protected]> * Select Nebari-env by default --------- Signed-off-by: Pavithra Eswaramoorthy <[email protected]>
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‎README.md

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This is helpful if you can't access mybinder.org, or if you want to
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[contribute to this tutorial](#contributing-to-this-tutorial).
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## Presentation for Scipy 2023
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## Setup for SciPy US 2024
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This tutorial was presented live during the SciPy 2023 conference. The current state of the repository, as presented, can be accessed through the designated git tag, available [here](https://github.com/bokeh/tutorial/releases/tag/SciPy2023).
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This tutorial will be presented at the SciPy 2024 conference, where you can use Nebari (JupterHub) hosted at [scipy.quansight.dev](https://http://scipy.quansight.dev/) to follow along.
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Follow [this participant's guide](https://docs.google.com/document/d/11YWMZKW6Y4tXnMs3Jekc1S7BQWTR6THZazDaq3WoNxw/edit?usp=sharing) to register, sign-in, and download the tutorial materials.
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In the `tutorials/tutorial` folder that's created with all material, navigate to the `notebooks` folder, and open `01_introduction.ipynb`.
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The environment for this tutorial is `scipy-scipy-interactive-dataviz-bokeh`, and it is automatically selected for you.
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## Previous presentations
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### SciPy US 2023
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This tutorial was presented live during the SciPy 2023 conference. The state of the repository, as presented, can be accessed through the designated git tag, available [here](https://github.com/bokeh/tutorial/releases/tag/SciPy2023).
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Additionally, the tutorial presentation is accessible on YouTube via the following link: https://youtu.be/G0Yc3ck4lC8?si=ZGqatTPnZBwjtdXO
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‎notebooks/01_introduction.ipynb

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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"display_name": "scipy-scipy-interactive-dataviz-bokeh",
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"language": "python",
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"name": "python3"
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"name": "conda-env-scipy-scipy-interactive-dataviz-bokeh-py"
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"language_info": {
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.0"
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"version": "3.12.4"
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"vscode": {
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‎notebooks/02_installation_and_setup.ipynb

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"metadata": {
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"display_name": "global-global-interactive-dataviz-bokeh",
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"display_name": "scipy-scipy-interactive-dataviz-bokeh",
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"language": "python",
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"name": "conda-env-global-global-interactive-dataviz-bokeh-py"
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"name": "conda-env-scipy-scipy-interactive-dataviz-bokeh-py"
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.4"
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"version": "3.12.4"
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‎notebooks/03_basic_concepts.ipynb

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"display_name": "scipy-scipy-interactive-dataviz-bokeh",
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"name": "conda-env-scipy-scipy-interactive-dataviz-bokeh-py"
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‎notebooks/04_basic_plots.ipynb

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‎notebooks/05_styling.ipynb

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‎notebooks/06_data_sources.ipynb

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‎notebooks/07_annotations.ipynb

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‎notebooks/08_plot_tools.ipynb

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