Code-driven visualizations using Matplotlib (charts, plots)
- Line, bar, scatter, and pie charts
- Customizing plot styles (colors, grids, markers)
- Subplots and layout management
- Annotating graphs and legends
- Working with real datasets
- Plotting with Pandas and NumPy
- Advanced styling with
plt.style,rcParams, and more