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

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

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.

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 ...

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

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 ...

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 ...

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 ...

Distribution System Operator,Power System,Distributed Energy Resources,Distribution Network,Microgrid,Distribution System,Energy Storage Systems,Mixed Integer Linear Programming,Objective ...