Time-Series Feature Engineering with Python Itertools

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.

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

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.

It’s harder than it might seem to create a stand-alone Python app. It’s also harder than you might think to reliably back up SQLite databases, but Python has the tools for it. And while it’s not easy to install Python on an air-gapped machine, it absolutely can be done. Top picks for Python readers on InfoWorld Why it’s so hard to create stand-alone Python apps Python’s dynamism is one of its most powerful features. It’s also why making stand-alone apps from Python programs is such a bear. How to back up SQLite databases the right way (not by copying them!) SQLite databases are single files, so backing them up just means copying them, right? Wrong. Make backups the proper way by using SQLite’s own backup mechanisms. Python’s new frozendict type, demonstrated A long-desired and -debated core addition to the language: a “frozen” or immutable dictionary, is coming in Python 3.15. See where it’ll be most useful in our live demo. How to set up Python on an air-gapped system Stuck working wi