Python Storage VS Memory
Understanding the difference between storage (disk) and memory (RAM) is crucial. Memory operations are faster but volatile, while storage is persistent but slower. In performance-critical applications, keeping frequently accessed data in memory and minimising storage I/O is essential for speed.
Example:
1import mmap
2
3with open("data.txt", "r+b") as f:
4 mmapped_file = mmap.mmap(f.fileno(), 0)
5 print(mmapped_file.readline())
6 mmapped_file.close()
Memory-mapped files allow you to treat disk storage as if it were memory, speeding up access times for large files.