Tell stories with jupyter notebook
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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.
Tell stories 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
- 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
- 9. How Jupyter Notebook differs from others Codes & Results Visualization /Graphs Rich texts Links Images & video
- 10. Why Jupyter Notebook? Literate Interactive Incremental Visual
- 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