How to Build Repository-Level Code Intelligence with Repowise Using Graph Analysis, Dead-Code Detection, Decisions, and AI Context

In this article, we will explore five fundamental concepts that every Python developer should have in their toolkit.

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

What happened when I migrated a 10K+ line project into an AI-native workflow The post I Let CodeSpeak Take Over My Repository appeared first on Towards Data Science.

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

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.

Learn how to build a vector search engine from scratch in Python with embeddings, similarity scoring, and basic retrieval logic.