Python Analytics
by benchflow-ai
Python data analysis with pandas, numpy, and analytics libraries
Skill Details
Repository Files
6 files in this skill directory
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
| Error Type | Cause | Recovery |
|---|---|---|
| MemoryError | Dataset too large | Use chunking or dask |
| KeyError | Column not found | Verify column names |
| ValueError | Invalid operation | Check data types |
| SettingWithCopyWarning | Chained assignment | Use .loc accessor |
Related Skills
- programming (for Python fundamentals)
- statistics (for statistical analysis)
- advanced (for machine learning)
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