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Found 31 Skills
Comprehensive guide for NumPy - the fundamental package for scientific computing in Python. Use for array operations, linear algebra, random number generation, Fourier transforms, mathematical functions, and high-performance numerical computing. Foundation for SciPy, pandas, scikit-learn, and all scientific Python.
Converts JSON data snippets into Python Pydantic data models.
Create publication-quality matplotlib/seaborn charts with readable axes, tight layout, and curated palettes.
Manage the academic workspace — project structure, templates, and output organization.
Data analysis, SQL queries, BigQuery operations, and data insights. Use for data analysis tasks and queries.
Create publication-quality plots and visualizations using matplotlib and seaborn. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
Use this for exploratory data analysis (EDA), generating visualizations, finding trends, and deriving insights from datasets using Python (Pandas/Seaborn/Plotly) or SQL.