5 Must-Know Python Concepts

In this tutorial, we explore how to use Repowise to build repository-level intelligence for the itsdangerous Python project in a practical and reproducible way. We start with an already cloned repository, configure Repowise using the available LLM credentials, and initialize its indexing pipeline. We then inspect the generated .repowise artifacts, analyze the repository graph with […] The post How to Build Repository-Level Code Intelligence with Repowise Using Graph Analysis, Dead-Code Detection, Decisions, and AI Context appeared first on MarkTechPost.

Three-storey GreenSquare datacentre in Hazelmere was to power cloud computing and the acceleration of AI Get our breaking news email, free app or daily news podcast A 15,000 sq metre datacentre near Perth will no longer go ahead after the developer withdrew plans amid community opposition over its impact on culturally significant sites. The three-storey, 120-megawatt GreenSquare datacentre in the town of Hazelmere had been intended to power cloud computing and the acceleration of artificial intelligence, but faced fierce community backlash. Continue reading...

Learn how to use Python itertools to build efficient and scalable time series features.

Microsoft Threat Intelligence said attackers placed malicious code inside a Mistral AI software download distributed through a Python package.

A Solana memecoin linked to Roaring Kitty’s X account crashed after its developer cashed out $729,000, raising hack and sniping concerns.

Time series data is common across finance, operations, engineering, and research. These five Python scripts cover the analysis tasks that come up repeatedly.

How to build sentiment-aware word representations from IMDb reviews using semantic learning, star ratings, and linear SVM classification The post Learning Word Vectors for Sentiment Analysis: A Python Reproduction appeared first on Towards Data Science.

For the first time, Google says it has spotted and stopped a zero-day exploit developed with AI. According to a report from Google Threat Intelligence Group (GTIG), "prominent cyber crime threat actors" were planning to use the vulnerability for a "mass exploitation event" that would have allowed them to bypass two-factor authentication on an unnamed "open-source, web-based system administration tool." Google's researchers found hints in the Python script used for the exploit that indicated help from AI, like a "hallucinated CVSS score" and "structured, textbook" formatting consistent with LLM training data. The exploit takes advantage of … Read the full story at The Verge.