Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Code that works perfectly locally (on macOS) goes silent the moment it is deployed to a production Docker container. This is a common sight in solo development. This time, I fell into this classic ...

Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data itself. Clear plotting improves when scatter plots and large datasets are simplified for ...

Digital Elevation Models (DEMs) are data files that provide height information about different locations on the planet or moon. In this project I used a DEM for Mars provided by the United States ...

Use Case: Quickly visualize data distributions, relationships, and trends during the exploratory data analysis (EDA) phase. Examples: Histograms, scatter plots, and box plots to understand data ...

Conclusion Matplotlib is a powerful Python library for data visualization that can be used to create a wide range of plots, from simple line charts to complex 3D visualizations and subplots. It offers ...

Although I already made a geologic map of Mars and open-sourced the code, this moon map was much more difficult because the geologic data was split into six different datasets. Each dataset had unique ...