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- Add new Chapter 7 notebooks covering deep learning and modern tools - Introduce neural network fundamentals with from-scratch implementations - Add modern data science tools (Polars, Plotly, XGBoost, SHAP, MLflow) - Include production ML systems guide with monitoring and A/B testing - Update project infrastructure with CI/CD, modern Python packaging - Enhance existing tools with better documentation and error handling - Update requirements.txt with current data science libraries - Modernize environment configuration for Python 3.8+ - Add comprehensive contributing guidelines and project metadata This update brings the handbook up to date with 2024+ data science practices while maintaining the educational approach of building from fundamentals.
- Remove CONTRIBUTING.md from gitignore (should be tracked) - Add generic pattern to ignore all *ignore files - Clean up gitignore patterns for better maintenance
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Main feature commit with all modern data science content
Follow-up chore commit updating .gitignore
Push Results:
Status: Successfully pushed to origin/master
Repository: github.com:hamzaMissewi/PythonDataScienceHandbook.git
✅ 4 new Chapter 7 notebooks (Deep Learning & Modern Tools)
✅ Updated project infrastructure (CI/CD, packaging)
✅ Enhanced tools and documentation
✅ Modern dependencies and Python 3.8+ support
✅ Improved .gitignore configuration