python-analytics

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
config	{"atomic":true,"retry_enabled":true,"max_retries":3,"backoff_strategy":"exponential","code_execution":"sandboxed"}
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	{"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)