Beyond the Benchmark: Why the “Best” Python Dependency Manager Might Not Be Best for You
30 Minute Talk
Sunday at 2:45 pm in Ballroom A
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!