Part 4: Visualization and Data Presentation
Chapter 19: Jupyter, Pandas, and Interactive Development
Foundational~120 min
Learning Objectives
- Set up JupyterLab with scientific extensions for efficient development
- Apply effective notebook patterns: clear cells, imports at top, reproducibility
- Use Pandas for loading, filtering, and analyzing tabular experiment data
- Convert notebooks to scripts and back for production workflows
Sections
Prerequisites
💬 Discussion
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