Step-by-step training for 3D and advanced visualization in python and Matplotlib (with all the codes)
InstructorS. Emadedin HashemiComidoc has tracked 16 coupons for this course since 2025, last checked 2 months, 21 days ago. On average, a new coupon appears roughly every 26 days.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| Coupon codeE51EF84DD08A337E655B | Discount100% off | Added | StatusExpired | Lifetime30d |
| Coupon codeDD6DB828118D69858D9E | Discount100% off | Added | StatusExpired | Lifetime30d |
| Coupon code35F0403893D6A23981C0 | Discount100% off | Added | StatusExpired | Lifetime~31 daysRan full term |
| Coupon code45D4C1F64275D5F049BD | Discount100% off | Added | StatusExpired | Lifetime~4 daysRan full term |
| Coupon codeEF0BB8C2F77B50C48D2F | Discount100% off | Added | StatusExpired | Lifetime~2 daysRan full term |
| Coupon codeF8AC6911724614C23795 | Discount100% off | Added | StatusExpired | Lifetime~4 daysRan full term |
Lifetime is the time from a coupon's first appearance to its expiration or invalidation.
Editorial course preview
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.
The curriculum provides specific modules for various 3D structures, including bar charts, histograms, contour plots, wireframes, and surface plots.
Instruction extends to polar coordinate plotting for sine and tangent functions, as well as geospatial heatmap generation using Folium.
A signal from before the displayed update indicates uncertainty regarding the practical utility of 3D plots in standard data workflows; note that the update label does not prove a correction to this concern.
The curriculum aligns with the goal of advanced visualization for researchers and analysts, though it assumes a baseline of Python knowledge.