Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...

Bayes' theorem is a statistical formula used to calculate conditional probability. Learn how it works, how to calculate it ...

Abstract: In order to accurately predict key variables of complex industrial processes, it is necessary to establish reliable data-driven soft sensing models. The accuracy of soft sensors can be ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Python -O won’t magically make every script faster, but in the right workloads it’s a free win—here’s how to test it safely.

Using Science to Improve the BLM Wild Horse and Burro Program: A Way Forward reviews the science that underpins the Bureau of Land Management's oversight of free-ranging horses and burros on federal ...

A production-ready Python development environment template using modern tools: uv for blazing-fast package management, Ruff for lightning-fast linting and formatting, ty for fast and reliable type ...

CrashFix crashes browsers to coerce users into executing commands that deploy a Python RAT, abusing finger.exe and portable Python to evade detection and persist on high‑value systems.

Abstract: Deep learning models have the potential to improve the accuracy and speed of medical microwave imaging. However, their performance often suffers due to a lack of high-quality data.

This project implements a CVaR-minimizing portfolio optimization model based on the seminal paper "Optimization of Conditional Value-at-Risk" by Rockafellar and Uryasev (2000). The analysis uses ...