InfoWorld

Speed boost your Python programs with new lazy imports

No more waiting on slow-loading modules or wasting time on ad hoc workarounds: Python 3.15’s new ‘lazy imports’ mechanism has ...
Analytics Insight

Pandas vs Polars vs DuckDB: What Data Scientists Should Use in 2026

Overview Each tool serves different needs, from simplicity to speed and SQL-based analytics workflows.Performance differences ...

Chainguard is racing to fix trust in AI-built software - here's how

Chainguard is racing to fix trust in AI-built software - here's how ...
IEEE

A Two-Stage Mixed Integer Programming Model for Distributionally Robust State-Based Non-Intrusive Load Monitoring

Abstract: This paper presents a non-intrusive load monitoring (NILM) model based on two-stage mixed-integer linear programming theory. Compared with other mixed integer optimization-based models, this ...
GitHub

GitHub - kossisoroyce/timber: Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code ...

Timber takes a trained ML model — XGBoost, LightGBM, scikit-learn, CatBoost, ONNX (tree ensembles, linear models, SVMs), or a URDF robot description — runs it through a multi-pass optimizing compiler, ...
archive

Programming for Computations - Python: A Gentle Introduction to Numerical Simulations with Python

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...