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If you’re mathematically inclined,
then you could use the [pigeonhole principle](https://en.wikipedia.org/wiki/Pigeonhole_principle)
to describe hash collisions more formally:
> Given *m* items and *n* containers,
> if *m* > *n*,
> then there’s at least one container
> with more than one item.
In this context,
items are a potentially infinite number of values
that you feed into the hash function,
while containers are their hash values
assigned from a finite pool.
Build a Hash Table in Python With TDD
Bartosz Zaczyński
The Meditations Newsletter #015
Alex from Sunsama
...catch up on these, and many more highlights
Readwise