Modernize Scientific Stack

소개

This skill provides a structured framework for migrating outdated Python 2 scientific scripts to modern Python 3 environments. It guides users through identifying deprecated syntax and libraries—such as cPickle, urllib2, and ConfigParser—and replacing them with their modern equivalents like pathlib and the current scientific stack. By emphasizing deep codebase analysis, rigorous syntax validation, and functional verification against raw data, it ensures that modernized scripts maintain mathematical integrity while adopting current best practices in dependency management and environment setup.

주요 기능

• Environment-aware dependency management using tools like uv, pip, or conda
• Implementation guidance to prevent common pitfalls like write truncation and tool assumptions
• Rigorous verification strategies including syntax validation and functional output comparison
• Systematic mapping of Python 2 syntax and deprecated libraries to Python 3 equivalents
• Comprehensive codebase analysis with specific checks for file truncation
• 16 GitHub stars

사용 사례

• Updating scientific computing code to use modern libraries like pandas, scipy, and pathlib
• Migrating legacy research scripts and data pipelines from Python 2 to Python 3
• Refactoring old data analysis workflows to ensure compatibility with modern package managers