Persistent Data Structures vs Copy On Write
Developers should learn persistent data structures when building applications that need immutable state management, such as in functional programming languages (e meets developers should learn and use copy on write when implementing systems that require efficient memory management, concurrency, or data sharing, such as in operating systems (e. Here's our take.
Persistent Data Structures
Developers should learn persistent data structures when building applications that need immutable state management, such as in functional programming languages (e
Persistent Data Structures
Nice PickDevelopers should learn persistent data structures when building applications that need immutable state management, such as in functional programming languages (e
Pros
- +g
- +Related to: functional-programming, immutability
Cons
- -Specific tradeoffs depend on your use case
Copy On Write
Developers should learn and use Copy On Write when implementing systems that require efficient memory management, concurrency, or data sharing, such as in operating systems (e
Pros
- +g
- +Related to: memory-management, concurrency
Cons
- -Specific tradeoffs depend on your use case
The Verdict
Use Persistent Data Structures if: You want g and can live with specific tradeoffs depend on your use case.
Use Copy On Write if: You prioritize g over what Persistent Data Structures offers.
Developers should learn persistent data structures when building applications that need immutable state management, such as in functional programming languages (e
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