Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...

Pythonic tools for design using numpy arrays and discrete volume elements "voxels" for construction and rendering. Inspired by OpenSCAD, but addressing some computational efficiencies for complex ...

NumPy is known for being fast, but could it go even faster? Here’s how to use Cython to accelerate array iterations in NumPy. NumPy gives Python users a wickedly fast library for working with data in ...

preprocess_volumes.py, an end-to-end Python pipeline for complete preprocessing of computed tomography (CT) scans from DICOM format to clean numpy arrays suitable for machine learning.