Publication-quality matplotlib/seaborn charts from a one-line prompt. Colorblind-accessible, despined, annotation-rich figures using DejaVu Sans, cubehelix/ColorBrewer palettes, and whitegrid styling.

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 ...

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

I'm a software engineer passionate about everything shaping our future.

Overview:  Learn the 10 most frequently asked data visualization interview questions along with practical sample answers.Understand what recruiters expect ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

These are my go-to libraries for Python data crunching.

Jupyter Notebook is a tool to run and write Python code easily, showing results right away, and allowing you to combine code, charts, notes, and files in one place ...