⚡ Bolt: [pandas and yaml parsing optimizations]

[alinelena]

💡 What: Refactored df.iterrows() usages to faster alternatives df.itertuples(index=False, name=None) or df.to_dict('records'). Added memoization wrapper for faqs.yml parsing using @functools.cache and copy.deepcopy.
🎯 Why: yaml.safe_load on config files and df.iterrows() are known performance bottlenecks that create large overhead when parsing UI components and dataframe rows.
📊 Impact: Significant time reduction when iterating large dataframes, rendering FAQ lists, preventing continuous reloading of IO config files.
🔬 Measurement: Time the pandas dataframe benchmarks and observe rendering latency of FAQ dropdowns.

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PR created automatically by Jules for task 3068821717765377182 started by @alinelena

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