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Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

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In Parcels we need to ensure that we don't make any assumptions as to what Xarray is using to store the data arrays (numpy, cupy, cubed, dask etc). This makes us flexible enough to support any array ...

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ABSTRACT: SQL injection attacks pose a critical threat to web application security, exploiting vulnerabilities to gain access, or modify sensitive data. Traditional rule-based and machine learning ...

Abstract: Piggybacking codes are a class of maximum distance separable (MDS) array codes that can achieve repair bandwidth reduction of single-node erasure by adding some piggyback functions to a ...

I am on python-3.13.0, numba-0.61.0, and numpy-2.1.3. I have a jitclass with an instance attribute that is a 1d-array of floats, initialized to be zeros (in the MRE as [0.,0.]). I have a jitted ...