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Scipy cleanup (#24)
* removed all pre-commit * modified README to remove SciPy specifics * updated to latest Bokeh and Python versions
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README.md

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@@ -12,19 +12,11 @@ You can also [install and run the notebooks on a local machine](#local-setup).
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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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## Setup with Nebari for Scipy 2023
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## Presentation for Scipy 2023
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This tutorial is being presented live at SciPy 2023, where you can use Nebari (JupterHub) hosted at [scipy.quansight.dev](https://scipy.quansight.dev/) to follow along.
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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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Follow [this participant's guide](https://docs.google.com/document/d/1vnWhNyUBRpILb2MAHQfTmZQY3pCIaCmroV9ke49nQlE/edit) to register and sign-in at, and use the following link to clone the tutorial materials:
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```bash
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https://github.com/bokeh/tutorial.git
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```
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In the `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 `global-global-interactive-dataviz-bokeh`, and it is automatically selected for you.
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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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## Local setup
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### Preparing your environment
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The ``bk-tutorial`` environment includes the necessary dependencies to contribute to
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this repository. The only exception if [pre-commit](https://pre-commit.com/), which
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you can install with the following command (after activating the ``bk-tutorial``
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environment):
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```bash
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pre-commit install
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```
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This way, some basic linting will be run on your code before you commit it.
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The ``bk-tutorial`` environment includes the necessary dependencies to contribute to this repository.
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For consistency, we ask that you generally follow the
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[Black code style](https://black.readthedocs.io/en/stable/the_black_code_style/current_style.html)

environment.yml

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channels:
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- conda-forge
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dependencies:
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- black
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- bokeh>=3.2.0
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- flake8
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- bokeh>=3.3.1
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- geojson
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- geopandas
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- jupyter_client<8
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- nbqa
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- notebook
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- pandas
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- pre-commit
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- pyshp
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- python>=3.10
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- python>=3.12

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