Memory map large files list python

Certainly! Memory-mapping is a technique in Python that allows you to access large files by mapping them directly into memory rather than loading the entire file into RAM. This can be especially useful when dealing with large datasets that may not fit into memory.
In this tutorial, I'll show you how to memory-map large files in Python and efficiently work with them using a list as an example.
Now that the file is memory-mapped, you can access its contents using indices, just like you would with a regular bytearray in Python.
You can iterate through lines in the memory-mapped file efficiently.
If your use case requires modifying the data in the file, you can do so.
Keep in mind that memory-mapping is most effective when working with large files that do not fit into memory. This approach can lead to improved performance and reduced memory usage compared to loading the entire file into memory.
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