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Re:Ask HN: Disk-backed NumPy for data analysis? by prirun on Thursday February 16, 2023 @11:34AM (#34820943)
You can use swap / virtual memory. The tricky part with that or any db is to make sure that your array accesses are as sequential as possible, because in the worst case, each memory reference could turn into a disk access. Make sure your swap is on a fast NVME/SSD device to minimize access time. See mkswap.

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