10 GitHub Repositories for Web Development in Python

Kimi-K2.7-Code's efficiency and open-source nature could democratize AI-driven coding, reducing costs and enhancing accessibility for developers. The post Kimi AI releases open-source K2.7 Code model with 1 trillion parameters on APIs and Hugging Face appeared first on Crypto Briefing.

Deep Research now lives inside Perplexity Computer, breaking hard questions into subtasks and routing across 20+ frontier models. The post Perplexity Moves Deep Research Into Computer, Routing Research Subtasks Across 20+ Frontier Models For Reports, Decks, And Dashboards appeared first on MarkTechPost.

With machine learning and a high-resolution imaging robot, scientists measured and mapped the extent of Earth’s carbon circulatory system.

SWE-Explore: Benchmarking How Coding Agents Explore Repositories

Modern AI systems have evolved beyond the simple chatbots that quickly became popular. Now they use semantic tools to manage workflows and link machines to machines, providing a flexible and effective framework for the next generation of business automation. What you used to build in Microsoft’s Power Platform or construct inside Biztalk is now an agent, built around large language models (LLMs) that can parse both your data and the APIs that you want to use your data with, orchestrating workflows with a level of autonomy that traditional tooling can’t match. That shift has offered new opportunities, much like those that came with business platforms like Microsoft Dynamics and Salesforce. Here, tools built to solve one set of business problems could be turned into applications that could be sold to other companies. What worked for you to solve one of your problems could now be an added revenue stream, sold through platform marketplaces that helped customers manage installations and cus

The ability for attackers to leverage automatic install script execution in npm will finally come to an end when expected changes arrive from GitHub in July. Coders will still be able to enable the function, but the default setting will block it.  In V12, default settings are changing, GitHub said in its changelog, noting, “it turns an npm install behavior that runs automatically today into one you explicitly opt into.”  Specifically, the post said, “allowScripts defaults to off: npm install will no longer execute preinstall, install or postinstall scripts from dependencies unless they are explicitly allowed in your project. This includes native node-gyp builds; a package with a binding.gyp and no explicit install script still gets blocked, because npm runs an implicit node-gyp rebuild for it. Prepare scripts from git, file, and link dependencies are blocked the same way.” Analysts, consultants, and users generally applauded the change, but said that it would only narrow the exposure t

PDFs are used everywhere, and these five Python scripts help you automate the most common PDF tasks.

In this tutorial, we work with NVIDIA's Nemotron-Pretraining-Code-v3 dataset as a large-scale metadata index for code pretraining research. We stream the dataset instead of downloading it, inspect its schema, and build a manageable sample. We analyze languages, file extensions, repository frequency, and directory depth to understand the index structure. We then reconstruct raw GitHub URLs, fetch real source files, and estimate the token scale of the fetched code. The post Building a Code Dataset Pipeline from NVIDIA Nemotron-Pretraining-Code-v3 Metadata with Streaming, Pandas, and tiktoken appeared first on MarkTechPost.