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 ...

Mass spectrometry-based lipidomics and metabolomics generate extensive data sets that, along with metadata such as clinical parameters, require specific data exploration skills to identify and ...

We're looking at four popular alternatives to MATLAB: RunMat, Octave, Julia, and Python. Our comparison focuses on their speed, how well they integrate with other tools, and their suitability for real ...

Three-dimensional (3D) volumetric images are a critical resource in various disciplines, including geophysics, petroleum, and materials science, due to their role in the numerical analysis 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 ...

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 ...

We share the story of how we made this paper, the first executable paper in Heliophysics, through cross-disciplinary collaboration to highlight the benefits of our process. Executable papers are ...

Department of Chemistry, University of Illinois at Urbana−Champaign, 600 S. Mathews Avenue, Urbana, Illinois 61801, United States Beckman Institute for Advanced Science and Technology, University of ...