What are common mistakes when working with mutable data?
An example of an AI chatbot conversation about common mistakes with mutable data.
What are common mistakes when working with mutable data?
Common mistakes include not cloning data before modification, leading to unintended side effects.
Can you explain why cloning is important?
Cloning prevents changes to the original data, ensuring that you maintain data integrity and avoid bugs.
What are some techniques for cloning data?
You can use methods like Object.assign(), the spread operator, or libraries like Lodash for deep cloning.
Are there performance concerns with cloning?
Yes, cloning can be costly in terms of performance, especially with large data structures, so use it judiciously.
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