What are the performance implications of serialization in programming?
Serialization can impact performance by increasing processing time and memory usage, especially with large data structures.
Can you explain how serialization affects network communication?
Certainly! Serialization is crucial for network communication as it converts data into a format that can be easily transmitted over the network.
Are there any best practices to minimize performance issues with serialization?
Yes, some best practices include using efficient serialization formats like Protocol Buffers, minimizing data size, and avoiding deep nesting.
What are the trade-offs between different serialization formats?
Different formats like JSON, XML, and Protocol Buffers offer trade-offs in terms of readability, size, and speed. Choosing the right one depends on your specific use case.
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