We interact with digital images every single day, snapping photos, applying filters, and rendering 3D visualizations. But while the human eye sees colors, shapes, and depth, a computer sees something ...

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 ...

The concept of a Halbach array (HA), its distinct features, design optimization, and applications have attracted the attention of numerous researchers. It has been established that Halbach arrays ...

Over the last few years, Python Tool Pro has reshaped how subsurface teams use Petrel. Tasks that once took hours of manual clicking can now be automated, scaled, and repeated with just a few lines of ...

Image Processing in Python for 3D image stacks, or IMPPY3D, is a software repository comprising mostly Python scripts that simplify post-processing and 3D shape characterization of grayscale image ...

WARNING: THIS PROJECT IS NO LONGER MAINTAINED. Python/NumPy implementation of the Ramer-Douglas-Peucker algorithm (Ramer 1972; Douglas and Peucker 1973) for 2D and 3D data. The Ramer-Douglas-Peucker ...

Python, a versatile and powerful programming language, offers a range of libraries specifically designed for data visualization. These libraries provide tools to create everything from simple charts ...

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 ...

In interphase, the human genome sequence folds in three dimensions into a rich variety of locus-specific contact patterns. Cohesin and CTCF (CCCTC-binding factor) are key regulators; perturbing the ...