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Beyond the Benchmark: Why the “Best” Python Dependency Manager Might Not Be Best for You
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pyohio
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pyohio_2025
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Marks
Author(s):
Keming He
Location
Ballroom A
Date
jul Sun 27
Days Raw Files
Start
14:45
First Raw Start
14:25
Duration
00:30:00
Offset
0:19:29
End
15:15
Last Raw End
15:25
Chapters
00:00
0:16:17
Total cuts_time
27 min.
https://www.pyohio.org/2025/program/talks/beyond-the-benchmark
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Description:
**Ever wondered why your team still uses pip when benchmarks show alternatives are 10x faster?** The answer lies beyond raw performance metrics. In this myth-busting session, I'll reveal surprising insights from analyzing thousands of GitHub repositories and real-world implementation case studies. You'll discover why technical superiority doesn't always translate to organizational success, and how to navigate the complex decision landscape of Python dependency management. I'll share: - ⚡ Eye-opening performance comparisons between UV, Poetry, Conda, and pip+pyenv - 📊 Actual adoption statistics that challenge conventional wisdom - 💼 ROI calculations that factor in both technical AND human costs - 🛣️ A decision framework for selecting the right tool for YOUR specific context Whether you're contemplating a migration, advocating for better tooling, or simply curious about the evolving Python ecosystem, you'll leave with actionable insights that balance technical excellence with organizational reality. Don't miss this data-driven exploration of Python's most underappreciated infrastructure challenge!
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