It is a faster and more optimized data type, and I like being able to use numpy functions on my Epstein arrays.
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Enter the Epstein Matrix
you fools, we need a system that can handle Epstein tensors of arbitrary rank!
Epstein Hashmaps are the way, you get O(1) read operations
Hashing is always the answer. That’s why hash browns are so much better than fries.
Doesn’t change search complexity, which is what is important here
Nope, hash tables are worst-case O(n) generally
I don’t want to precommit to a finite number of ghouls. However o(1) access time is good. Show me the epistein hash table
Merge sort on the Epstein array, because I want to merge all their bodies together.
I prefer an Epstein Linked List because cache rhymes with fash
