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I gave a proof-of-concept argument as to why something doesn’t need to take as long straight out of the box with no customization. Python is doing it sub-1s. Yo

I gave a proof-of-concept argument as to why something doesn’t need to take as long straight out of the box with no customization. Python is doing it sub-1s. You can also include a non-optimizing interpreter. My point is that being a general purpose language doesn’t inherently limit you in any way; instead it’s one’s choice of implementation strategy. Another strategy: when a user installs Julia, they select “fast-loading” libraries. You’d be surprise how small changes in UI/UX make huge perceived differences in quality and performance. I bet “Julia can already do this” too, but nobody does it because it’s not idiomatic and it’s not recommended up front. At the end of the day, people don’t complain about Python or MATLAB as much because they feel nicer. If it feels nicer because of some other reason than absolute time, then they’re doing something about UX that Julia is not, because everybody really does feel Julia is extremely sluggish to use.

ChrisRackauckas 5y ago
>Another strategy: when a user installs Julia, they select “fast-loading” libraries. You’d be surprise how small changes in UI/UX make huge perceived differences in quality and performance. I bet “Julia can already do this” too, but nobody does it because it’s not idiomatic and it’s not recommended up front. Don't most people already use a bit of PackageCompiler.jl in their workflows? Maybe it just need to be mentioned more in introduction videos, but it's literally one line of code to do this and I don't see how that isn't the solution already. Most users I know have been doing it for a few years now. For reference, with Plots and DifferentialEquations the command is: using PackageCompiler; create_sysimage([:Plots,:DifferentialEquations]) It's simple enough to add to every tutorial. I think the issue is that intro videos just need to be updated.
- qart 5y ago
  I'm new to Julia. I had heard of PackageCompiler, but assumed that was only for creating redistributable binaries for others. I also assumed `]precompile` was the best I could do to speed up libraries. My suggestions: 1- please forget about the intro videos. Those are impossible to keep up-to-date, and are not a good reference resource. Sure, a future video should explain PackageCompiler, but that is not sufficient. 2- please update docs.julialang.org with all such guidelines. This is the likely the first place people look, so if there are important guidelines that everyone could benefit from, this is where they belong.
adgjlsfhk1 5y ago
One thing that would help a lot is if julialang.org offered downloads with a bunch of common packages baked into a sysimage (modeled roughly of of anaconda). My rough estimate of packages to include would be Plots, BandedMatrices, DifferentialEquations, CSV, DataFrames, Flux, PyCall, (and probably some others). Having a distribution with a lot of the heavy hitter built in would make workflows using those packages much snappier.
- neolog 5y ago
  Are there some lists of most-downloaded packages?
  - krastanov 5y ago
    By github stars: https://juliahub.com/ui/Packages https://juliahub.com/ui/Packages There are better stats available (downloads), but I do not know of a good place to play with them publicly.

ChrisRackauckas 5y ago

>Another strategy: when a user installs Julia, they select “fast-loading” libraries. You’d be surprise how small changes in UI/UX make huge perceived differences in quality and performance. I bet “Julia can already do this” too, but nobody does it because it’s not idiomatic and it’s not recommended up front. Don't most people already use a bit of PackageCompiler.jl in their workflows? Maybe it just need to be mentioned more in introduction videos, but it's literally one line of code to do this and I don't see how that isn't the solution already. Most users I know have been doing it for a few years now. For reference, with Plots and DifferentialEquations the command is: using PackageCompiler; create_sysimage([:Plots,:DifferentialEquations]) It's simple enough to add to every tutorial. I think the issue is that intro videos just need to be updated.

qart 5y ago
I'm new to Julia. I had heard of PackageCompiler, but assumed that was only for creating redistributable binaries for others. I also assumed `]precompile` was the best I could do to speed up libraries. My suggestions: 1- please forget about the intro videos. Those are impossible to keep up-to-date, and are not a good reference resource. Sure, a future video should explain PackageCompiler, but that is not sufficient. 2- please update docs.julialang.org with all such guidelines. This is the likely the first place people look, so if there are important guidelines that everyone could benefit from, this is where they belong.

adgjlsfhk1 5y ago

One thing that would help a lot is if julialang.org offered downloads with a bunch of common packages baked into a sysimage (modeled roughly of of anaconda). My rough estimate of packages to include would be Plots, BandedMatrices, DifferentialEquations, CSV, DataFrames, Flux, PyCall, (and probably some others). Having a distribution with a lot of the heavy hitter built in would make workflows using those packages much snappier.

neolog 5y ago
Are there some lists of most-downloaded packages?
- krastanov 5y ago
  By github stars: https://juliahub.com/ui/Packages https://juliahub.com/ui/Packages There are better stats available (downloads), but I do not know of a good place to play with them publicly.