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Rules
6 rules available in the Claude directory
Machine Learning
Julia Data Science Coding Rules: Best Practices for High-Performance Numerical Computing
Master Julia programming for data science with rewritten expert guidelines on multiple dispatch, structs, error handling, testing, and optimization to boost code efficiency and readability.
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Claude Directory 1
Python
Python Data Science Specialist
Specialized prompt for building efficient data pipelines, analysis, and ML workflows in Python.
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Claude Directorypython
Reproducible ML Pipelines in Python
Comprehensive rules for building production-ready, reproducible machine learning pipelines using modern Python tools.
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Claude Directorypython
Pandas Data Pipeline Optimizer
Rules for efficient, scalable data processing pipelines using Pandas, Polars, Dask, and vectorized operations.
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Claude Directorypython
Python ML Pipeline Pro
Comprehensive guide for building reproducible ML pipelines with scikit-learn, PyTorch, and MLOps tools in Claude Code.
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Claude Directorypython
Pandas Data Mastery
Advanced data engineering and analysis with Pandas, Polars, Dask, and visualization tools, using Claude's reasoning for complex transformations.
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Claude Directory