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runningmike

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  1. Understanding Python Linters Through a Comprehensive and Empirical Study (arxiv.org)
    1 points 1
  2. How Russia Censors Foreign TV (gijn.org)
    2 points 1
  3. Panel 1.10.0 Release (blog.holoviz.org)
    1 points 1
  4. PyScript is entering maintenance mod (gist.github.com)
    1 points 2
  5. Kosmos 2612 and ICEYE-X36: a worrisome cat-and-mouse-game in Space (sattrackcam.blogspot.com)
    2 points 3
  6. What We Learned Building a Chatbot for La Silla Vacía's Newsroom Archive (gijn.org)
    1 points 0
  7. Scientists Detect Rare Type of Wood Alcohol in Space (universetoday.com)
    1 points 1
  8. How to Run Untrusted Python Code Without Getting Hacked (nocomplexity.com)
    1 points 1
  9. PyPy v8.0.1 Release (pypy.org)
    1 points 1
  10. Static Analysis vs. Taint Analysis: Which One Secures Your Python Code? (nocomplexity.substack.com)
    1 points 0
  11. The PSF Strategic Plan 2026 (pyfound.blogspot.com)
    1 points 1
  12. Soft-Deprecating Re.match() (hugovk.dev)
    1 points 0
  13. Type Hints in Python Libraries and Frameworks: An Empirical Analysis of Adoption (arxiv.org)
    1 points 1
  14. A Comprehensive Study of Native Code Bugs in Python Applications (arxiv.org)
    1 points 1
  15. Open Source is a cost-allocation system (dri.es)
    1 points 1
  16. The Python documentation is now available in Russian (blog.python.org)
    1 points 1
  17. The global race to make a practical quantum computer took a big leap forward (theconversation.com)
    1 points 0
  18. Ironic-Python-Agent: Container HardwareManager Security Model Misimplemented (seclists.org)
    2 points 0
  19. Beyond Source: An Empirical Study of Python Bytecode Security Risks (arxiv.org)
    2 points 0
  20. an ambiguity in C89 which will never be fixed (sebsite.pw)
    72 points 14
  21. Cross-Ecosystem Vulnerabilities in Python Applications (nocomplexity.substack.com)
    1 points 1
  22. What the Halting Problem Means for Python Security (nocomplexity.substack.com)
    2 points 0
  23. Demystifying Security Risks of AI-Powered Applications on Pre-Trained Model Hubs (arxiv.org)
    4 points 2
  24. Behind Python: The Languages That Power AI (arxiv.org)
    3 points 2
  25. Pandas for Reproducible Data Analysis (arxiv.org)
    3 points 1