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📝 Add Octoverse quote
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.pre-commit-config.yaml

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types: [file]
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files: \.(yml|yaml|cff)$
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- id: check-added-large-files
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args: ['--maxkb=1024']
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- id: check-json
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types: [file] # override `types: [json]`
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files: \.(json|ipynb)$

docs/index.rst

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@@ -6,8 +6,31 @@ Jupyter Tutorial
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growing in popularity with data scientists and have become the de facto standard
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for rapid prototyping and exploratory analysis. They inspire experiments and
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innovations enormously and as well they make the entire research process faster
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and more reliable. In addition, many additional components are created that
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expand the original limits of their use and enable new uses.
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and more reliable.
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*“A spike in Jupyter Notebooks use shows that open source underscores a
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growing community, especially as Python surges to become the most used
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language … Since 2018, we have seen the use of Jupyter Notebooks steadily
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grow—and that growth surged in 2022 as research and experimentation with
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generative AI and machine learning took off. Since 2022, Jupyter Notebooks
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usage … has spiked more than 170%. And since last year, usage has increased
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by 92%. Data scientists and machine learning researchers commonly use the
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open source application for machine learning, data visualization, and
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more.”*
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.. figure:: octoverse-jupyter-notebooks-usage.png
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:alt: Graph from GitHub’s Octoverse 2024 report showing a spike in
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utilization of Jupyter Notebooks across GitHub. This is calculated
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by looking at the distinct number of public repositories with at
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least one Jupyter Notebook by the year the repository was created.
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Since 2016, we have seen this number surge from near zero to more
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than 1.5 million repositories using Jupyter Notebooks.
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– `Octoverse: AI leads Python to top language as the number of global developers
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surges <https://github.blog/news-insights/octoverse/octoverse-2024/>`_
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In addition, many additional components are created that expand the original
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limits of their use and enable new uses.
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.. graphviz::
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