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

Data visualization is the art of organizing and presenting data visually compellingly. It makes it easier for anyone—regardless of their technical background—to interpret patterns, trends, and ...

Matplotlib is a versatile 2D plotting library that provides an array of visualization options. Whether it's line plots, scatter plots, bar plots, or even 3D plots, Matplotlib has you covered. Its ...

HSPiPy is a Python library designed for calculating and visualizing Hansen Solubility Parameters (HSP). It provides machine-learning–friendly estimators, convenient data import, and plotting tools for ...

We report an educational tool for the upper level undergraduate quantum chemistry or quantum physics course that uses a symbolic approach via the PySyComp Python library. The tool covers both ...

models.Model API is open demonstration of MVP model and is definitely a good starting point/topic for 3D graphics. Also you can plot any function on 3D scene. To create model you can simply pass 3D ...

Swarm is a European Space Agency (ESA) spacecraft mission in Low Earth Orbit probing the electromagnetic environment around and within Earth 1. Researchers making use of Swarm data products can face ...

Data is the most valuable resource businesses have in today’s digital age, and a large portion of this data is made up of images. Data scientists can process these images and feed them into machine ...

Here we developed an open-source Python-based library called Python rodent Analysis and Tracking (PyRAT). Our library analyzes tracking data to classify distinct behaviors, estimate traveled distance, ...