[WIP] Set up a new LHM python environment or like at least a doc with the requirements so I can easily create it next time. Make sure it is optimized for macoeconomic & financial market data analysis, visualization, & modeling.

[Copilot]

Setting up comprehensive Python environment for macroeconomic & financial market data analysis

Analysis Complete

• Repository exploration - found basic structure but no Python environment files
• Identified requirement for comprehensive setup optimized for macro/financial analysis

Implementation Plan

• Create requirements.txt with core packages for macro/financial analysis
• Create environment.yml for conda users
• Create pyproject.toml for modern Python packaging
• Add development requirements (testing, linting, formatting)
• Create .python-version for Python version management
• Create environment setup documentation in docs/
• Add sample .env template for API keys/credentials
• Create setup script for easy environment creation
• Update README.md with installation instructions
• Create environment validation script

Package Categories to Include

• Core Data: pandas, numpy, scipy
• Financial Data: yfinance, pandas-datareader, fredapi, quandl
• Visualization: matplotlib, seaborn, plotly, bokeh
• Statistical/ML: scikit-learn, statsmodels, pymc
• Time Series: arch, tsfresh
• Development: jupyter, ipykernel, black, flake8, pytest

Original prompt

Set up a new LHM python environment or like at least a doc with the requirements so I can easily create it next time. Make sure it is optimized for macoeconomic & financial market data analysis, visualization, & modeling.

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[Copilot]

Copilot wasn't able to review any files in this pull request.

[BobSheehan23]

nice