tanlermin

12 ms·

61.
by tanlermin 11y ago
Are you being sarcastic?
62.
by tanlermin 11y ago
Okay, check this out: DataFlow programming for Julia https://github.com/MikeInnes/Flow.jl
63.
by tanlermin 11y ago
Yea I meant the native binaries in the recent ahead of time compilation work.
64.
by tanlermin 11y ago
Very interesting I didn't realize the difference. How about this? https://github.com/shashi/ComputeFramework.jl But I suspect it has the same problem. Edit: There is also this https://github.com/Ju
65.
by tanlermin 11y ago
Yes, thats what I meant.
66.
by tanlermin 11y ago
But they will still need to be interpreted ie cpython. I'm not sure how much space just cutting out the GC will save?
67.
by tanlermin 11y ago
Wouldn't you still have to ship the entire python VM? That doesn't sound to feasible for your average web app.
68.
by tanlermin 11y ago
So how big are the Julia binaries? Would it still need a VM?
69.
by tanlermin 11y ago
Have you tried dask? It already has dataflow programming built in for numpy arrays, out of core and custom structures. http://dask.pydata.org/en/latest/
70.
by tanlermin 11y ago
Ugh. But in julia, its written in julia. There are even julia native tensor and matrix ops.
71.
by tanlermin 11y ago
Use python's bokeh: http://bokeh.pydata.org/en/latest/ You can create interactive plots and webapps without writing javascript.
72.
by tanlermin 11y ago
This is really cool..hope to see it succeed :)
73.
by tanlermin 11y ago
Actually, I think support for nuitka would be amazing. Its already 2x faster than cpython on pystone, but its even more promising to compile everything into a binary blob for easy distribution. http://nuitka.net/
74.
Welcome to the Python Engineering blog(blogs.msdn.microsoft.com)
147 points by tanlermin 11y ago|61 comments
75.
by tanlermin 11y ago
Uh, no they are not. They lazy- scale pandas to on disk and distributed files. http://dask.pydata.org/en/latest/dataframe.html "Dask dataframes look and feel like pandas dataframes, but operate on datasets la
76.
by tanlermin 11y ago
Python's Dask out of core dataframe can also do that.
77.
by tanlermin 11y ago
Have you tried nuitka or Conda?
78.
by tanlermin 11y ago
You think it will take that long?
79.
by tanlermin 11y ago
my point exactly.
80.
by tanlermin 11y ago
yes, but are these articles early sensitive indicators of things to come or just esoteric blovation?
81.
by tanlermin 11y ago
Yes...but one that is also very fast, portable and with great generic programming.
82.
by tanlermin 11y ago
Why can't Julia fill that role?
83.
by tanlermin 11y ago
Let's look at Julia for example. Its currently gaining steam in numerics, machine learning other technical computing areas...I hypothesize this is compound growth. For general computing, what would happen when it gains static compilati
84.
Ask HN: Is Python dying?
240 points by tanlermin 11y ago|348 comments