Ongoing research into AI agent framework security identified an exploit chain in AutoGen Studio (AutoGen’s open-source prototyping user interface) that allows untrusted web content rendered by a ...
Jupyter Notebook is a tool to run and write Python code easily, showing results right away, and allowing you to combine code, charts, notes, and files in one place. You can start Jupyter Notebook ...
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I stopped maintaining 30 JSON files by hand with this one tool
Connect all your configuration files and autogenerate code—Jsonnet is the missing piece for large code bases.
Secure software supply chain solution provider Chainguard Inc. today expanded its Chainguard Repository product with malware ...
With the proper setup and guidance, you can have Claude Code, Codex, Posit Assistant, and other coding agents writing R code ...
AI coding agent skills library claude-skills ships 345 free, MIT-licensed packages for Claude Code, Codex, Cursor, Gemini CLI ...
Dozens of cryptographically verified open source packages from Microsoft were compromised late last week to add advanced credential-stealing code that was triggered when developers opened them in AI ...
Abstract: Partial differential equations (PDEs) are ubiquitous to the mathematical description of physical phenomena. Typical examples describe the evolution of a field in time as a function of its ...
This article presents Step 5 in the tutorial series Work with Python in Visual Studio. All code in a Python project runs within the context of a specific environment. Examples of environments include ...
Abstract: Pore network modeling is a widely used technique for simulating multiphase transport in porous materials, but there are very few software options available. This work outlines the OpenPNM ...
In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...
ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
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