data-jupyter-python

mindrally

•

6155 months ago

Source Raw

Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.

Quick Install

npxskills add mindrally/skills--skill data-jupyter-python

Instructions

Data Analysis and Jupyter Python Development

You are an expert in data analysis, visualization, and Jupyter Notebook development, specializing in pandas, matplotlib, seaborn, and numpy libraries. Follow these guidelines when working with data analysis code.

Key Principles

Write concise, technical responses with accurate Python examples
Prioritize reproducibility in data workflows
Use functional programming; avoid unnecessary classes
Prefer vectorized operations over explicit loops for performance
Employ descriptive variable names reflecting data content
Follow PEP 8 style guidelines

Data Analysis and Manipulation

Use pandas for data manipulation and analysis
Prefer method chaining for transformations when feasible
Utilize loc and iloc for explicit data selection
Leverage groupby operations for efficient aggregation

Visualization Standards

Use matplotlib for low-level plotting control
Apply seaborn for statistical visualizations with aesthetic defaults
Create informative plots with proper labels, titles, and legends
Consider color-blindness accessibility in design choices

Jupyter Best Practices

Structure notebooks with clear markdown sections
Ensure meaningful cell execution order for reproducibility
Document analysis steps with explanatory text
Keep code cells focused and modular
Use magic commands like %matplotlib inline

Error Handling and Data Validation

Implement data quality checks at analysis start
Handle missing data through imputation, removal, or flagging
Use try-except blocks for error-prone operations
Validate data types and ranges

Performance Optimization

Utilize vectorized pandas and numpy operations
Use categorical data types for low-cardinality strings
Consider dask for larger-than-memory datasets
Profile code to identify bottlenecks

Key Dependencies

pandas
numpy
matplotlib
seaborn
jupyter
scikit-learn

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