Editorial course preview
What the public course preview actually shows
These 4 complementary views highlight concrete, legible examples from the course presentation.
This screenshot shows a Jupyter Notebook environment where Python code is used to create detailed 3D surface plots, demonstrating the syntax for rendering visualizations.
This notebook demonstrates how to customize 3D plots in Matplotlib by setting the colormap to viridis and removing edge colors for a smooth appearance.
This composite image showcases three distinct types of 3D visualizations, including a color-coded scatter plot, a smooth surface plot, and a geometric torus.
This composite image showcases four different types of 3D plots generated using Python libraries, including a bar chart, surface plots, and a spiral line graph.
