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 bernsteinbear.com
Type information for faster Python C extensions | Max Bernstein
| | alexgaynor.net
PyPy is the Future of Python ยท Alex Gaynor
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| | [AI summary] The article discusses PyPy as a potential future for Python, highlighting its speed, flexibility, and advantages over CPython, while also noting current limitations and ways to contribute to its development.
| | eli.thegreenplace.net
Python internals: adding a new statement to Python - Eli Bendersky's website
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| | [AI summary] This article explains how to add a new 'until' statement to Python's compiler by modifying its grammar, AST generation, and bytecode compilation processes.
| | ashvardanian.com
Our CPython bindings got 5x faster without PyBind11 | Ash's Blog
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| | Python's not the fastest language out there. Developers often use tools like Boost.Python and SWIG to wrap faster native C/C++ code for Python. PyBind11 is the most popular tool for the job not the quickest. NanoBind offers improvements, but when speed really matters, we turn to pure CPython C API bindings. With StringZilla, I started with PyBind11 but switched to CPython to reduce latency. The switch did demand more coding effort, moving from modern C++17 to more basic C99, but the result is a 5x lower ...
| | nextjs.org
Security Advisory: CVE-2025-66478 | Next.js
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| A critical vulnerability (CVE-2025-66478) has been identified in the React Server Components protocol. Users should upgrade to patched versions immediately.