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bb1234
searching PlanetScale…
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10 ms
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1.
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by
bb1234
1y ago
I don't like them either. I find it hard to articulate why I don't like them. I definitely have experienced problems with them where they get into some state where the cell results are incorrect. Then, if I restart the kernel and
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by
bb1234
2y ago
Same here. I have the same issue with realtime services. They are either free (and, hence very limited), or over $50 per month. I wish the usage-pricing step function had smaller jumps.
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by
bb1234
2y ago
My websites run on https because how easy Caddy makes it. Caddy made it possible for me. Cannot thank Matt Holt enough for creating Caddy and making it available to all of us.
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by
bb1234
3y ago
That is a good practice for any statistical software you are using. You should validate your R code with Python or Julia.
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by
bb1234
3y ago
Vocal minority might be one of them. But I think that is not the only reason. I think it also because a lot of very useful and performant tools are being written in it. Also, the fact that so many programs are being created likely suggests
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Coding Jobs and GPT-4
45 points
by
bb1234
3y ago
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55 comments
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by
bb1234
3y ago
This has been said many times, but I think it is because of not having AOT compilation as an option. Due to this, not only do we have the "Time to first plot" problem, but apparently the memory used by the process is also large. I
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by
bb1234
3y ago
If interested in benchmarks comparing different dataframe implementations, here is one: https://h2oai.github.io/db-benchmark/
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by
bb1234
4y ago
> 2. No language server (apparently it's just impossible due to the way the language works). Tbh, I'd be happy with just "Go to definition" but alas, no-can-do! This works on Doom Emacs!
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by
bb1234
4y ago
I used Crystal to create a web application a 2-3 years ago. It is running great without any problems. There are not that many users (only about 300-400) at any time. Anyhow, I did not touch the application in the last two years, and did not
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by
bb1234
5y ago
That means chew your food thoroughly so that it becomes almost liquid and you “drink” it. Also, don’t gulp your drinks down quickly. Drink slowly, as if you are chewing each sip.
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by
bb1234
5y ago
Yes, Caddy is awesome! About 3-4 years ago it made it super-easy (and possible) for me to serve my websites with `https`. Before that, I was using nginx, and the process of obtaining certificates seemed quite complicated. Matt Holt, thank y
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by
bb1234
5y ago
If you are going to rewrite, you may want to consider Julia. It will give you close to C speed, but will be as high level (or higher level) than Python.
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by
bb1234
5y ago
Thank you.
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by
bb1234
5y ago
For someone who does not know much about NIFs, will it be a lot slower if the Rust service is coded as a command line application and then invoked using System.cmd? Is that a good alternative?
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bb1234
5y ago
Greatest Of All Time
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by
bb1234
6y ago
You said "The thing about Julia is that you can code without caring about performance (and the performance will be Python-like)." This is not my experience. Even if you code without caring about performance it is way faster than
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by
bb1234
6y ago
This is a good point. I think products like these have strong network externalities (more the number of people use it, more beneficial they become). For this reason, a new product may not replace an incumbent product even when the incumbent
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by
bb1234
6y ago
Do you have an alternative to suggest?
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by
bb1234
6y ago
For me the main selling point is speed. I had coded a simulation in Python which was slow (would have taken days for the whole thing to run). This version did not use Numpy. Then I coded it in Python so that I could use Numpy. Just to be ab
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by
bb1234
6y ago
Any modeling approach can be implemented/used in an incorrect way. The so-called analytical approaches also often make very specific assumptions on functional forms to be able to obtain analytical solutions. By performing extensive sen
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by
bb1234
7y ago
Is there a way to fix this?
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by
bb1234
7y ago
If you care about a rich standard library, and static self-contained executables, I would strongly suggest Crystal. I have used both Go and Crystal, and the latter is much more productive as well as simpler. It’s standard library is richer.
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by
bb1234
7y ago
I would second this. I moved from Go to Crystal. Crystal has been great to work with. Due to a rich standard library, the absence or fewness of third-party libraries may not be much of a problem, especially if you are looking for developing
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Crystal 0.30.0 Released
(crystal-lang.org)
2 points
by
bb1234
7y ago
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0 comments
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by
bb1234
7y ago
According to the benchmarks at https://github.com/kostya/benchmarks , Crystal is about twice as fast as Go.
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by
bb1234
7y ago
Question: For someone who does not know either Rust or Zig, would you say that Zig also has tools that help the programmer protect from data race conditions (I have read that Rust is helpful in this regard)?
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by
bb1234
7y ago
Since you are asking about performance of some languages, you may find this helpful https://github.com/kostya/benchmarks
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Vlang Released 0.0.12
(vlang.io)
3 points
by
bb1234
7y ago
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0 comments
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Crystal 0.29
(crystal-lang.org)
58 points
by
bb1234
7y ago
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7 comments
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