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Stop crashing your Python scripts: How Zarr handles massive arrays

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

Efficient Calculation of Propagation Coefficients in Anisotropic Media Through Transfer Matrix Method Based on Eigenvalue Analysis

Abstract: To explore the anisotropic nature and improve computational efficiency, eigenvalue (EV-) analysis is adopted to implement the transfer matrix method (TMM), abbreviated as EV-TMM, enabling ...
GitHub

Blazingly fast cognitive complexity analysis for Python, written in Rust.

Cognitive complexity measures how hard code is to understand by humans, not machines. Unlike traditional metrics, cognitive complexity considers the mental effort required to read and comprehend code.
IEEE

A Storage Optimization Scheme for PITD Method Using Sparse Matrix-Vector Multiplication

Abstract: An improved variant of the precise-integration time-domain (PITD) method is proposed to eliminate the inverse matrix calculation and optimize the storage burden with the help of sparse ...
GitHub

manastast/array-to-centromere-calculator

Pipeline for calculating centromeric blocks from TRASH repeat-array outputs. Merges tandem-repeat arrays into continuous blocks, applies percentile filtering (25–50–25 + 10% rescue), computes ...