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**Hi there! I've been browsing all of the resolved issues on here to try to figure out what to do here to get this plugin to work. Thank you so much in advance! Here's what I get when I try to load th…
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@kp992 would you have time to look into the build error for amss
```
ValueError: V and W need to be successfully computed before simulation.
```
The build cache is failing so it is failing on …
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Hi Joshua,
I have seen your blog post on using JIT to replace some numpy functions by numba JIT.
This is an excellent blog post.
Am already working on this, having the same issues to accelerate some …
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I installed Codon 0.15.5 and codon-jit 0.1.3 on Ubuntu 22.04.2 with Python 3.10.6. Comparing this script with Numba variant (commented line):
```
import codon
import numba as nb
import numpy as np…
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I noticed in the source code for DirectionalVariogram.py that the @jit decorators have been commented out. Are there any immediate plans to accommodate GPU use with gstat?
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### What happened + What you expected to happen
`numba` is a JIT lib to compile python code to accelerate. It tries to type all functions and if it can't it complains (and fails). One dynamic functio…
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The CUDA kernel doesn't seem to respect the NUMBA_OPT environment variable. This makes switching debugging on and off from shell difficult, especially for kernels that make many device function calls.…
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QuantEcon (Quantitative Economics) is a code library for quantitative economic modeling in Python
References
- [Github](https://github.com/QuantEcon/QuantEcon.py)
- [Official Website](https://qua…
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PyNNDescent (https://github.com/lmcinnes/pynndescent) is able to get a lot of speed (presumably) by using [numba](https://numba.pydata.org/). This should be relatively easy to add to fast_pq as well.