121–130 of 259 posts
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Did you get "connection reset by peer" when you sent a bit too many requests perchance? I've never found the source of that in my programs. There's no server logging about it, connections are just rejected. None of the docs talk about this.
I don't remember the exact error name but the FastAPI server would just freeze.
It will be very exciting to see how much faster they'll be able to make vanilla python. The value proposition is being challenged by the plethora of tools aiming to alleviate those issues. Speed improvers like Mojo, pytorch, triton, numba, taichi come to mind. There are so many different attempts at solving this problem that that the last time I wanted to try one of them, I found myself overwhelmed with options. I ch…
Mojo should be viewed as an attack on the Python ecosystem due to it being a superset. It can consume Python, but it itself is not Python. Taichi is really underrated, it works across all platforms (including Metal), has tons of examples and the code is easy to write. And lastly, it integrates with the ecosystem and doesn't displace it. https://github.com/taichi-dev great demo reel of what Taichi can do, https://www.…
First I read the news of tranched bread, and now this?! What a time! I was a bit disheartened when the Unladen Swallow project [1] fizzled out. Great to see Python back on the core optimization track. [1] https://en.wikipedia.org/wiki/CPython#Unladen_Swallow
tranched bread?
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Python is just the more popular language. Julia array manipulation is mostly better (better syntax, better integration, larger standard library) or as good as python. Julia is also dynamically typed. It is also faster than Python, except for the jit issues.
> It is also faster than Python, except for the jit issues. I was intrigued by Julia a while ago, but didn't have time to properly learn it. So just out of curiosity: what's the issues with jit and Julia ?
The famous "Time To First Plot" problem was about taking several minutes to do something like `using Plots; Plots.plot(sin)`.
But to be fair recent Julia releases improved a lot of it, the code above in Julia 1.10 takes 1.5s on my 3-year old laptop
Finally, looking forward to the benchmarks of many tools!
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Mojo should be viewed as an attack on the Python ecosystem due to it being a superset. It can consume Python, but it itself is not Python. Taichi is really underrated, it works across all platforms (including Metal), has tons of examples and the code is easy to write. And lastly, it integrates with the ecosystem and doesn't displace it. https://github.com/taichi-dev great demo reel of what Taichi can do, https://www.…
I think "attack" is a bit much; C++ isn't an attack on C.
https://gigamonkeys.wordpress.com/2009/10/16/coders-c-plus-p...
More than seeing it in main, I'm happy for the "python thread slow" meme officially going away now.
I wish I had your optimism. Thoughtless bandwagon-y "criticism" is extraordinarily persistent.
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Although true, it doesn't mean they can't improve its performance. Working with threads is a pain in Python. If you want to spawn +10-20 threads in a process, it can quickly become way slower than running a single thread. Removing the GIL and refactoring some of the core will unlock levels of concurrency that are currently not feasible with Python. And that's a great deal, in my opinion. Well worth the trouble they'r…
Working with threads is a pain regardless of which language you use. Some might say: "Use Go!" Alas: https://songlh.github.io/paper/go-study.pdf After a couple decades of coding, I can say that threading is better if it's tightly controlled, limited to usages of tight parallelism of an algorithm. Where it doesn't work is in a generic worker pool where you need to put mutex locks around everything -- and then prod ran…
That's not true at all. F#, Elixir, Erlang, LabVIEW, and several other languages make it very easy. Python makes it incredibly tough.
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Why do people use python for anything beyond glue code? Because it took off, and machine learning and data science now rely on it. I think Python is a terrible language that exemplifies the maxim "worse is better". https://en.wikipedia.org/wiki/Worse_is_better
Some speculate that universities adopted it as introductory language for its expressiveness and flat learning curve. Scientific / research projects in those unis started picking Python, since all students already knew it. And now we're here
I get in concept what the GIL is.
But what's the impact of this change?
Packages will now break, for the hope of better overall performance?