These are my go-to libraries for Python data crunching.

Armored Likho BusySnake Stealer, a Python-based infostealer first disclosed by Kaspersky, is actively targeting government ...

MotherDuck is launching Flights, an agent-native data pipeline that enables users to choose the MCP server and AI agent of their choice to build and deploy data pipelines in minutes using a flexible, ...

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Smart speakers such as Alexa, Google Home, and Apple Home have transformed how people interact with technology, enabling ...

A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...

Legacy R&D systems fragment data, limiting integration, collaboration and AI readiness across product development workflows.

Oracle is moving to stop maintaining the macOS/x64 port of the Java Development Kit (JDK) from version 27, which is expected ...

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

Microsoft, international law enforcement, and cybersecurity firms used AI to analyze and shut down the infrastructure used to run campaigns with Amadey and StealC malware in what the IT giant calls a ...