Why Jupyter is data scientists’ computational notebook of choice

Re:Why Jupyter is data scientists’ computational notebook of... by 3rdAccount on Tuesday October 30, 2018 @06:02PM (#18341663)

Is that atom's fault or just the Julia REPL's fault? I use the REPL directly on Windows and it seems to be really slow as it will take something like "using JuMP" and precompile the module which takes time.

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Re:Why Jupyter is data scientists’ computational notebook of... by celrod on Wednesday October 31, 2018 @03:13AM (#18343841)

I think it is Juno (the Julia package for Atom)'s fault. Atom is fine on its own, as is the Julia REPL after compilation.

I just looked through Julia's settings tab in Atom, and saw the option "Fallback Renderer" with the note "Enable this if you're experiencing slowdowns in the built-in terminals." It was disabled by default, so I've just enabled it.

Subjectively, I think it feels fine now. Longer use will tell, but I suspect I was just running into a known issue some setups run into, and they already provided the workaround.

EDIT: Comparing running some code in Atom's terminal and a REPL running in the GNOME Terminal, the regular REPL still feels notably snappier -- even though I'm `using OhMyREPL`, which makes the REPL a bit less responsive.

I'd say Atom feels acceptable (and definitely not "mind boggling laggy" right now), and shift/ctrl + enter more convenient than switching tabs. So I will stick with it (for Julia). More time shall tell.

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Re:Why Jupyter is data scientists’ computational notebook of... by 3rdAccount on Wednesday October 31, 2018 @09:48PM (#18350870)

I wonder if Windows is slower. It isn't terrible, but waiting 8 seconds after typing in "using JuMP" is kind of long.

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