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We've replaced JIT with a vectorised approach to handling particle data (#2143). This has allowed us to use numpy to achieve good performance.
In future we can explore how we can call on numba compiled functions from within a kernel to allow users to break out and run code on a 'per particle' level while still having good performace, and avoiding having to think in a vectorized manner.
Closing this issue to track in a separate issue.
Originally posted by @VeckoTheGecko in #2106
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