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name: python-analytics description: Python data analysis with pandas, numpy, and analytics libraries version: "2.0.0" sasmp_version: "2.0.0" bonded_agent: 05-programming-expert bond_type: SECONDARY_BOND

Skill Configuration

config: atomic: true retry_enabled: true max_retries: 3 backoff_strategy: exponential code_execution: sandboxed

Parameter Validation

parameters: skill_level: type: string required: true enum: [beginner, intermediate, advanced] default: beginner focus_area: type: string required: false enum: [pandas, numpy, visualization, timeseries, all] default: all

Observability

observability: logging_level: info metrics: [code_efficiency, memory_usage, execution_time]

Python Analytics Skill

Overview

Master Python for data analysis using industry-standard libraries.

Topics Covered

• Pandas DataFrames and Series operations
• NumPy array manipulation
• Data aggregation and groupby
• Time series analysis
• Jupyter notebook workflows

Learning Outcomes

• Analyze data with pandas
• Perform numerical computations
• Build reproducible analysis notebooks
• Process large datasets efficiently

Error Handling

Related Skills

• programming (for Python fundamentals)
• statistics (for statistical analysis)
• advanced (for machine learning)