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

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.

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

The following is the textbook used for the Scientific Computing for Chemists course intended to teach chemists and chemistry students basic computer programming in Python and Jupyter Notebooks and ...

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 ...

In just three weeks, a Northwestern summer program introduces high school students to astronomy, art and coding. The Research ...

The spatial organization of chromatophore-muscle innervation by motoneurons enables the generation of chromatophore-shaped noise, virtual or composite chromatophores, and shape elements such as lines ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

When engineers set out to build a DIY thermal imaging camera, they usually resort to expensive microbolometer arrays or cheap ...

A viral report claims that chatbot lying and scheming has increased exponentially; the problem is that the report’s language is doing the heavy lifting instead of its data, opines Satyen K. Bordoloi ...