@@ -6,8 +6,31 @@ Jupyter Tutorial
66growing in popularity with data scientists and have become the de facto standard
77for rapid prototyping and exploratory analysis. They inspire experiments and
88innovations enormously and as well they make the entire research process faster
9- and more reliable. In addition, many additional components are created that
10- expand the original limits of their use and enable new uses.
9+ and more reliable.
10+
11+ *“A spike in Jupyter Notebooks use shows that open source underscores a
12+ growing community, especially as Python surges to become the most used
13+ language … Since 2018, we have seen the use of Jupyter Notebooks steadily
14+ grow—and that growth surged in 2022 as research and experimentation with
15+ generative AI and machine learning took off. Since 2022, Jupyter Notebooks
16+ usage … has spiked more than 170%. And since last year, usage has increased
17+ by 92%. Data scientists and machine learning researchers commonly use the
18+ open source application for machine learning, data visualization, and
19+ more.” *
20+
21+ .. figure :: octoverse-jupyter-notebooks-usage.png
22+ :alt: Graph from GitHub’s Octoverse 2024 report showing a spike in
23+ utilization of Jupyter Notebooks across GitHub. This is calculated
24+ by looking at the distinct number of public repositories with at
25+ least one Jupyter Notebook by the year the repository was created.
26+ Since 2016, we have seen this number surge from near zero to more
27+ than 1.5 million repositories using Jupyter Notebooks.
28+
29+ – `Octoverse: AI leads Python to top language as the number of global developers
30+ surges <https://github.blog/news-insights/octoverse/octoverse-2024/> `_
31+
32+ In addition, many additional components are created that expand the original
33+ limits of their use and enable new uses.
1134
1235.. graphviz ::
1336
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