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Computer Science
Other Tools and Technologies
Jupyter Notebooks
1. Introduction to Jupyter Notebooks
2. Installation and Setup
3. The Jupyter User Interface
4. Core Concepts
5. Working with Code Cells
6. Writing and Formatting with Markdown
7. Data Visualization
8. Magic Commands
9. Advanced Features
10. Best Practices and Workflow
11. Sharing and Export
12. The Broader Jupyter Ecosystem
Data Visualization
Inline Plotting Setup
Matplotlib Magic Commands
Display Configuration
Figure Saving
Matplotlib Integration
Basic Plotting
Plot Customization
Multiple Subplots
Figure Size and Resolution
Seaborn Integration
Statistical Visualizations
Styling and Themes
Advanced Plot Types
Interactive Visualizations
Plotly Integration
Creating Interactive Charts
Customizing Interactive Plots
Exporting Interactive Plots
Bokeh Integration
Building Interactive Dashboards
Embedding Bokeh Plots
Media Display
Embedding Images
Displaying Audio
Displaying Video
Dynamic Media Content
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8. Magic Commands