@@ -6,8 +6,31 @@ Jupyter Tutorial
6
6
growing in popularity with data scientists and have become the de facto standard
7
7
for rapid prototyping and exploratory analysis. They inspire experiments and
8
8
innovations 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.
11
34
12
35
.. graphviz ::
13
36
0 commit comments