How-To Geek on MSN
Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...
Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...
Explore different methods for authenticating devices on a network, from hardware addresses to advanced certificate-based ...
JFrog security researchers have exposed two critical vulnerabilities (CVE-2026-1470, rated 9.9; and CVE-2026-0863, rated 8.5) in the n8n workflow automation platform.
Both are pouring serious resources into building genuine technical bridges between OpenAI's AI capabilities and Snowflake's ...
Many times when performing penetration tests, there is no lack of tools for conducting penetration testing, but rather the issue relates to performing penetration testing in a fractured way.
The addition of durable execution to the popular serverless compute service is a big step forward, but beware the lock-in ...
The Register on MSN
Yes, you can build an AI agent - here's how, using LangFlow
AI automation, now as simple as point, click, drag, and drop Hands On For all the buzz surrounding them, AI agents are simply ...
What's new? Agentic Vision in Gemini 3 Flash uses a think act observe loop with Python code for visual analysis; available via Gemini API in Google AI Studio and Vertex AI; ...
A company that provides specialized consulting, metallurgical engineering, and digital solutions to the global mining industry is seeking a QA Automation Engineer who will be the strategic owner of ...
Anthropic is quietly testing new Claude updates, including a Plugins section, Sketch attachments, and Cowork tasks in ...
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