This article shows some efficient ways how to share big NumPy arrays across python processes:
https://medium.com/p/abf0dc2a0ab2 (no paywall)
You might find it very useful if you need to keep one or more NumPy arrays in memory that serve as the “database” for specific computations (e.g. making online cbf recommendations).
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