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xiaodai
searching PlanetScale…
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41 ms
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511.
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by
xiaodai
7y ago
Daemon. Best thriller ever. Not really, but was interesring to read https://www.amazon.com/Daemon/dp/B001QCZTWA/ref=mp_s_a_1_1?k...
512.
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xiaodai
7y ago
disk.frame uses fst as the underlying format
513.
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xiaodai
7y ago
Just use https://diskframe.com and you will not limited by memory!!
514.
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xiaodai
7y ago
For larger-than-RAM data I would recommend diskframe.com It uses dplyr and data.table syntax to manipulate data on disk
515.
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by
xiaodai
7y ago
Price differentiation. Well known theory in economics. It's like asking why do ppl still release movies in cinemas.
516.
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by
xiaodai
7y ago
That's cos they are all learning Chinese.
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by
xiaodai
7y ago
Too verbose. Does not even support Windows. Too closely related to iOS at least in image. MLIR sounds like a nice idea but isn't really Swift specific. I don't understand why they decided to do Swift for Tensorflow, should have in
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by
xiaodai
7y ago
Rust will never work except in niche areas because it doesn't allow for easy experimentation and does not provide an iterative workflow like Python, R, or Julia. I think the future is Julia, as it's as easy to write as Python, is
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We Created Xs:Code
(xscode.com)
14 points
by
xiaodai
7y ago
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4 comments
520.
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by
xiaodai
7y ago
15kyu? One can easily reach that strength after 1 week. Some ppl become pro age 9
521.
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by
xiaodai
7y ago
Yes to distributed data processing. JuliaDB.jl has promise.
522.
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xiaodai
7y ago
Just use Julia. You get the benefits and libraries that compose well with others.
523.
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xiaodai
7y ago
This theory is well known in Chinese it is known as 不疯魔,不成活
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TraitWrappers.jl Another Way of Doing Traits in Julia; Different to Holy Traits
(github.com)
1 points
by
xiaodai
7y ago
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0 comments
525.
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xiaodai
7y ago
Nim mentions that Oberon is one of its inspirations
526.
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xiaodai
7y ago
As predicted by Andrew Yang. Read "War on normal people"
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xiaodai
7y ago
We use our own product https://PI.EXCHANGE We deploy the models as HTTP endpoints and consume them in R/Python/Excel. We also have advanced functionality available to enterprise clients that are exposed as APIs with a
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xiaodai
7y ago
Hyper Anna
529.
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by
xiaodai
7y ago
I mean, don't reach for Spark. Just get Dask, a databased or R's disk.frame is mostly fine.
530.
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xiaodai
7y ago
Use Dask. In R for tabular data use disk.frame
531.
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xiaodai
7y ago
When u sale, you sale to ppl who don't use the stuff. Executives.
532.
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by
xiaodai
7y ago
Julia's compiler lets you hook into it and make something mind blowing like Zygote.jl https://github.com/FluxML/Zygote.jl
533.
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xiaodai
7y ago
The DPU (Data Processing Unit) which is specialist unit like the GPU but for data tasks like sorting, grouping will be a reality soon!
534.
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xiaodai
7y ago
The article already explained there is way in the world the L2 hyperparameter is set to 1. The only way to get the correct parameter is to use CV.
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xiaodai
7y ago
Remember reading that thread the developer was saying something like "this is an ML library, not a statistics library". The subtext he is trying to convey is. I do ML! I am a higher-being. If you want statistically accurate funct
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Emergent features of Julia part 1
(invenia.github.io)
3 points
by
xiaodai
7y ago
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0 comments
537.
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by
xiaodai
7y ago
Purchased right away!
538.
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by
xiaodai
7y ago
This is a common issue that people encounter. I am glad that compilation latency is now the top priority in terms of Julia-compiler work. Hoping to see something interesting from there
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xiaodai
7y ago
If you want performance then yeah. If you are after hypothetical performance in future which may not even materialise, then the choice is yours. Everyone knows where the sensible ground is. Which, unfortunately, is CUDA only
540.
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xiaodai
7y ago
Sounds like road to maturity problems. The key is to think, "are these issues solvable?" if they are it's only a matter of time. The next thing is when those things are fixed, does Julia offer something above and beyond what
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