How can I improve performance when working with nested data structures?
To improve performance, consider flattening the data structure or using indexing to speed up access.
What are the trade-offs of flattening nested data?
Flattening can simplify access and improve speed, but it may lead to data redundancy and complexity in updates.
Are there specific libraries or tools that can help with this?
Yes, libraries like Lodash for JavaScript or Pandas for Python can help manage and manipulate nested data efficiently.
How do I identify performance bottlenecks in my current implementation?
You can use profiling tools to analyze your code's performance and identify slow operations or excessive memory usage.
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