Data analysis is no longer a specialist skill reserved for analysts. It now supports finance, trading, ecommerce, marketing, ...

Many current microscopy methods increasingly rely on computation as an integral part of the imaging process. This model-based approach to optics—integrating optical system design with algorithmic ...

'That value is an outlier, so let's exclude it.' This is a phrase heard repeatedly in data analysis. However, most practitioners remain vague about the criteria used to determine what constitutes an ...

To study the contamination of microorganisms in the food industry, pharmaceutical industry, clinical diagnosis, or bacterial taxonomy, accurate identification of species is a key starting point of ...

Attackers can inject indirect prompts in normal-looking repositories to trick Claude Code into spawning a reverse shell.

A SimpleHelp authentication flaw is being exploited to deploy Djinn Stealer, a cross-platform malware targeting cloud, ...

But unlike most quants, I run a concentrated, fundamentals-based portfolio. More than 50% of my fund is invested in only eight companies, and they're the kinds of stocks that Peter Lynch and Charlie ...

Medical artificial intelligence (AI) has immense potential to improve health outcomes, particularly in regions in which specialized medical expertise is scarce 1. At the same time, AI also poses new ...

Essential Ways to Run a Python Script Python is one of the most popular programming languages today, widely praised for its simplicity and versatility. Whether you’re a beginner dipping your toes into ...

Most people jump from Python → ML → GenAI. And then struggle with: • model failure • misleading metrics • weak experimentation • wrong conclusions This book fixes that. 📘 Practical Statistics for ...

2) As AI writes more code, the human role shifts to a supervisor. However, if we don't build the skills to code from scratch, we lose the ability to effectively debug and validate what the AI produces ...

This book is for data analysts, business analysts, data scientists, data engineers, or Python developers who want practical Python recipes for time series analysis and forecasting techniques.