postflopclarity
Joined 1 year ago
Joined 1 year ago
1.13 is, to-date, the release with the fastest startup times. and AOT compilation continues to be a serious priority for upcoming releases
>>> x = [2*53, 2*53 + 2]
>>> statistics.covariance(x, x) 4.0
>>> statistics.variance(x) 2
```
python has plenty of bugs like these too. is this example also "LLM slop" ? I think it's frankly delusional to somehow believe that these issues are unique to Julia.
> If anyone really believes the Python bugs are real, they should report it to Python
I have reported several bugs, both to Python and to Julia.
I'm not going to engage further in this thread, but if you want to continue discussion I'd be happy to chat somewhere else that's a little less clunky
exactly. and the same is true for many of the bugs that have been presented as indictments of Julia. but when the same is said of those, the community is called "defensive." so it's a lose-lose.
why so rude and adversarial, especially when so misinformed? AI code is better than 95% of engineers at this point.
I'm sure there are lots of smart people who found that the language didn't suit their needs. there are also lots of smart people who love using Julia. both things can be true at the same time.