# Programming

> Python and R programming for data analysis, automation, and reproducible analytics

- Skill: `majiayu000/programming` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/programming`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/programming/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/programming

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# Programming for Data Analytics Skill

## Overview
Master Python and R programming for data analysis, from basic syntax to advanced data manipulation and automation.

## Core Topics

### Python for Data Analysis
- Python fundamentals and syntax
- Pandas for data manipulation
- NumPy for numerical computing
- Data cleaning and preprocessing

### R for Statistics
- R fundamentals and tidyverse
- dplyr for data transformation
- ggplot2 for visualization
- Statistical modeling in R

### Data Wrangling
- Reading various file formats (CSV, JSON, Excel, Parquet)
- Handling missing data
- Data type conversions
- Merging and reshaping datasets

### Automation & Reproducibility
- Jupyter notebooks and R Markdown
- Script automation and scheduling
- Version control with Git
- Environment management (conda, venv)

## Learning Objectives
- Write efficient Python code for data analysis
- Use R for statistical computing
- Automate repetitive data tasks
- Create reproducible analysis workflows

## Error Handling

| Error Type | Cause | Recovery |
|------------|-------|----------|
| ImportError | Missing package | pip/conda install package |
| SyntaxError | Invalid code | Check syntax, use linter |
| MemoryError | Data too large | Use chunking or dask |
| TypeError | Wrong data type | Explicit type conversion |
| FileNotFoundError | Missing file | Verify path, check permissions |

## Related Skills
- databases-sql (for data extraction)
- statistics (for statistical programming)
- advanced (for machine learning implementation)