I’m currently working on a Python project where I need to parse large datasets from JSON files efficiently. The files are approximately 2-5 GB in size, and I’m facing performance issues with the current parsing method using Python’s standard json library.

I’ve attempted to use json.load(), but it consumes a lot of memory and is quite slow for files at the upper end of my size range. I’m considering alternatives that could handle this more efficiently, possibly with better memory management or faster parsing capabilities.

I am looking for detailed advice on best practices, as well as any code examples or references to documentation that could help.