# Data Analysis Caching For Performance

> Sub-skill of data-analysis: Caching for Performance (+2).

- Skill: `vamseeachanta/data-analysis-caching-for-performance` (Agent Skill)
- Install (CLI): `npx skillmds@latest add vamseeachanta/data-analysis-caching-for-performance`
- Raw SKILL.md: https://api.skillmd.com/api/skills/vamseeachanta/data-analysis-caching-for-performance/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: vamseeachanta (https://skillmd.com/u/vamseeachanta)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/vamseeachanta/data-analysis-caching-for-performance

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# Caching for Performance (+2)

## Caching for Performance


```python
import streamlit as st
from functools import lru_cache

@st.cache_data(ttl=3600)  # Streamlit caching
def load_and_process_data():
    return pl.read_parquet("data.parquet")

@lru_cache(maxsize=100)  # General Python caching
def expensive_calculation(params_tuple):
    return compute_metrics(params_tuple)
```

## Consistent Styling


```python
# Define color palette
COLORS = {
    "primary": "#1f77b4",
    "secondary": "#ff7f0e",
    "success": "#2ca02c",
    "danger": "#d62728",
    "neutral": "#7f7f7f"
}


*See sub-skills for full details.*

## Error Handling for Data Loading


```python
def safe_load_data(path, fallback=None):
    """Load data with comprehensive error handling."""
    try:
        if path.endswith('.parquet'):
            return pl.read_parquet(path)
        elif path.endswith('.csv'):
            return pl.read_csv(path)
        else:
            raise ValueError(f"Unsupported format: {path}")

*See sub-skills for full details.*