Update dependencies to latest versions and require Python 3.13+ #15
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This major update modernizes the entire dependency stack to use the latest versions of scientific Python packages. All core dependencies have been updated to their current stable releases. ## Dependency Updates - NumPy: 1.23.5 → 2.3.0 (major version upgrade) - Pandas: 1.5.3 → 2.3.0 (major version upgrade) - Matplotlib: 3.7.1 → 3.10.3 - SciPy: 1.10.1 → 1.15.3 - Statsmodels: 0.13.5 → 0.14.4 ## Breaking Changes - Python requirement updated from 3.8+ to 3.13+ - NumPy 2.0+ includes breaking changes from 1.x series ## Infrastructure Improvements - Simplified dependency management in setup.py - Updated Pipfile to Python 3.13 and latest package versions - Streamlined requirements.txt to core packages only - Added comprehensive installation documentation - Introduced CHANGELOG.md for tracking changes ## Testing - Verified compatibility with California Prop 99 example - All package imports working with new versions - Core estimation functionality confirmed working 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Hi! We needed to use this great package internally at Workhelix; however, I needed to update the dependencies (we use python 3.13). With the assistance of Claude and my colleague Wentao, we got it working against a more aggressively modern stack. You are of course welcome to use this or not, but we wanted to share.