This code is inspired by Cache-friendly, Parallel, and Samplesort-based Constructor for Suffix Arrays and LCP Arrays. We copied many ideas from the original C++ implementation CaPS-SA, most notably ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

paravalid provides high-performance parallel JSON serialization/deserialization and Pydantic model validation optimized for Python 3.13+ free-threaded (no-GIL) builds.

Whether you’re solving geometry problems, handling scientific computations, or processing data arrays, calculating square roots in Python is a fundamental task. Python offers multiple approaches for ...

Google DeepMind recently released GenAI Processors, a lightweight, open-source Python library built to simplify the orchestration of generative AI workflows—especially those involving real-time ...

Abstract: Multiple parallel sparse linear arrays (MPSLAs) can be strategically deployed in two-dimensional (2D) or three-dimensional (3D) space, offering a unique advantage by enabling easy conformal ...

Abstract: Multiple parallel sparse linear arrays (MPSLAs) can be strategically deployed in two-dimensional (2D) or threedimensional (3D) space, offering a unique advantage by enabling easy conformal ...

An experimental ‘no-GIL’ build mode in Python 3.13 disables the Global Interpreter Lock to enable true parallel execution in Python. Here’s where to start. The single biggest new feature in Python ...