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CUViper
searching PlanetScale…
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26 ms
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241.
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by
CUViper
18y ago
DH: You don't learn much by taking apart a dynabook, except not to do it. It had never hit me before, but the current generation of kids don't even get to hack the operating system. Perhaps not in 1993, but now we have full open source en
242.
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by
CUViper
18y ago
A VM is great for trying out an app, but if I'm really going to use something, it becomes a PITA to have it in it's own sandbox. I don't want to deal with network sharing and all that just to move files between all my apps.
243.
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by
CUViper
18y ago
This feels a bit symbiotic, given that a big chunk of git is written in Perl. Should we now watch to see whether Python chooses Mercurial or Bazaar? Seems they're already leaning towards the latter: http://www.python.org/dev/bazaar/ Sorr
244.
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by
CUViper
18y ago
Thanks -- scipy.weave looks to do the trick! BTW, while that linked code is a good example of how weave works, it's a bad example of when to use it. I've no doubt that the code runs faster with that portion written in C, but a different al
245.
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by
CUViper
18y ago
Those are all nice frameworks for building extensions, but requiring an external build step is a bit cumbersome. Ultimately though, I agree that a JIT is the way to go.
246.
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by
CUViper
18y ago
If said intensive math is currently written in Python, then rewriting it in CorePy will likely give a big speed boost. CPython does not compile down to machine code, so it can't do the optimizations that a full compiler can do. Now, if a p
247.
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by
CUViper
18y ago
Would have been cooler using UTF-8 in the source. HTML escape feels like cheating. E2 98 83 FTW