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The State of Statistics in Julia

johnmyleswhite.com

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Re: The State of Statistics in Julia

#3

Post by andrewvc »

I tried julia last week looking for an R replacement. I was pretty excited but the web REPL is broken on the current OSX build. Try as I might I could not get the web repl to run when building it myself.

It still seems quite immature, but I'm very excited about it's future.

Re: The State of Statistics in Julia

#4

Post by StefanKarpinski »

andrewvc wrote: post #3

I tried julia last week looking for an R replacement. I was pretty excited but the web REPL is broken on the current OSX build. Try as I might I could not get the web repl to run when building it myself. It still seems quite immature, but I'm very excited about it's future.

We're phasing out the web repl since it's not actively developed anymore. At some point I'm going to take a crack at providing a Julia backend to iPython Notebook [1].

[1] http://ipython.org/ipython-doc/dev/interactive/htmlnotebook....

Re: The State of Statistics in Julia

#5

Post by paulgb »

andrewvc wrote: post #3

I tried julia last week looking for an R replacement. I was pretty excited but the web REPL is broken on the current OSX build. Try as I might I could not get the web repl to run when building it myself. It still seems quite immature, but I'm very excited about it's future.

I tried Julia recently and am very excited about it as well, especially with the addition of DataFrames. The only thing that worries me is the disorganized nature of the Base and Core packages. I fear that 5 years from now Julia will have a mess of functions in the global namespace like PHP, rather than a clean standard library like Python. Is this fear misplaced?

Re: The State of Statistics in Julia

#6

Post by timClicks »

StefanKarpinski wrote: post #4
andrewvc wrote: post #3

I tried julia last week looking for an R replacement. I was pretty excited but the web REPL is broken on the current OSX build. Try as I might I could not get the web repl to run when building it myself. It still seems quite immature, but I'm very excited about it's future.

We're phasing out the web repl since it's not actively developed anymore. At some point I'm going to take a crack at providing a Julia backend to iPython Notebook [1]. [1] http://ipython.org/ipython-doc/dev/interactive/htmlnotebook....

That will actually be an interesting test of the iPython architecture. Hopefully the team got it right with client/server, zmq and websockets.

Re: The State of Statistics in Julia

#8

Post by StefanKarpinski »

paulgb wrote: post #5
andrewvc wrote: post #3

I tried julia last week looking for an R replacement. I was pretty excited but the web REPL is broken on the current OSX build. Try as I might I could not get the web repl to run when building it myself. It still seems quite immature, but I'm very excited about it's future.

I tried Julia recently and am very excited about it as well, especially with the addition of DataFrames. The only thing that worries me is the disorganized nature of the Base and Core packages. I fear that 5 years from now Julia will have a mess of functions in the global namespace like PHP, rather than a clean standard library like Python. Is this fear misplaced?

The namespace mechanism was only added a few months ago and we're still working out some of the kinks with how it works. The plan going forward is to slice Base into an organized hierarchy but still have everything available by default without too many imports. The "using" keyword works rather similarly to the same keyword in C++ and now in Ruby 2.0 [1], and aims to give the best of both the "single huge namespace" (C, PHP, Matlab) and many small namespaces approaches (Python, Java).

[1] http://blog.headius.com/2012/11/refining-ruby.html

Re: The State of Statistics in Julia

#9

Post by JeffBezanson »

paulgb wrote: post #5
andrewvc wrote: post #3

I tried julia last week looking for an R replacement. I was pretty excited but the web REPL is broken on the current OSX build. Try as I might I could not get the web repl to run when building it myself. It still seems quite immature, but I'm very excited about it's future.

I tried Julia recently and am very excited about it as well, especially with the addition of DataFrames. The only thing that worries me is the disorganized nature of the Base and Core packages. I fear that 5 years from now Julia will have a mess of functions in the global namespace like PHP, rather than a clean standard library like Python. Is this fear misplaced?

Nothing more will be added to Core (though a few things might be removed), and very little more will be added to Base. Most new stuff in the future will be in separate packages and modules.

Re: The State of Statistics in Julia

#10

Post by jordigh »

StefanKarpinski wrote: post #8
paulgb wrote: post #5

Earlier quoted context omitted.

I tried Julia recently and am very excited about it as well, especially with the addition of DataFrames. The only thing that worries me is the disorganized nature of the Base and Core packages. I fear that 5 years from now Julia will have a mess of functions in the global namespace like PHP, rather than a clean standard library like Python. Is this fear misplaced?

The namespace mechanism was only added a few months ago and we're still working out some of the kinks with how it works. The plan going forward is to slice Base into an organized hierarchy but still have everything available by default without too many imports. The "using" keyword works rather similarly to the same keyword in C++ and now in Ruby 2.0 [1], and aims to give the best of both the "single huge namespace" (…

Make sure you get namespaces right, right now.

This is one of the biggest problems in Matlab, and 20+ years later, they still can't fix them, and the namespace problem is still huge.

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