Beyond the Benchmark: Why the “Best” Python Dependency Manager Might Not Be Best for You
30 Minute Talk
TBD at TBD in TBD
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!