The document discusses the use of Jupyter Notebook as a powerful tool for storytelling in data science, emphasizing its browser-based, interactive environment that supports multiple programming languages. It highlights the differences between Jupyter and traditional programming platforms, such as enhanced visualization and the integration of rich media. Kevin Lee, the presenter, calls for a shift from coding to effectively presenting solutions through storytelling with Jupyter Notebook.

1. Telling Story with
Jupyter Notebook
Kevin Lee, Director of Data Science

2. The Agenda
➢ Telling Stories
➢ The Introduction of
Jupyter notebook
➢ Why Jupyter notebook?
➢ Demo of Jupyter
notebook
➢ Questions and Discussion

3. Seattle original
- Starbucks

4. Coffee Bar
Future of
Starbucks

5. Storytelling is the most
powerful way to put ideas into
the world today.

6. Can we, as a
programmer,
tell the stories
with the
program?
Yes, with
Jupyter
notebook

7. Introduction of Jupyter notebook
➢Browser-based interactive computer working
environment
➢Free programming platform
➢Support many languages (e.g., SAS, Perl, R,
Python, Java, C++,,,)
➢One of the most popular platform for data
scientist

8. Normal
programming
platforms
➢ codes
➢ comments
➢ results

9. How
Jupyter
Notebook
differs from
others
Codes & Results
Visualization
/Graphs
Rich
texts
Links
Images &
video

10. Why Jupyter Notebook?
Literate Interactive Incremental Visual

11. Jupyter
Notebook
demo

12. Conclusion:
➢ Role changes from
coding to presenting
solution
➢ Jupyter notebook -
school day notebook
including notes,
pictures and drawings
as well as problems
and solutions
➢ Let’s tell story

13. Thanks!!!
Please contact
kevin.kyosun.lee@gmail.com
https://www.linkedin.com/in/
HelloKevinLee/