#julialang — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #julialang, aggregated by home.social.
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Evolution of the temperature of baryonic matter in a tiny simulated cosmic volume, analysed with #Julialang and simulated with ENZO.
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Evolution of the temperature of baryonic matter in a tiny simulated cosmic volume, analysed with #Julialang and simulated with ENZO.
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Evolution of the temperature of baryonic matter in a tiny simulated cosmic volume, analysed with #Julialang and simulated with ENZO.
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Evolution of the temperature of baryonic matter in a tiny simulated cosmic volume, analysed with #Julialang and simulated with ENZO.
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Evolution of the temperature of baryonic matter in a tiny simulated cosmic volume, analysed with #Julialang and simulated with ENZO.
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Can you access the new `juliaup gui` on macos with juliaup installed with brew?
I just get an error: GUI binary not found at '/opt/homebrew/bin/juliaupgui'. The juliaupgui component may not be installed.
Juliaup 1.22.3
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Can you access the new `juliaup gui` on macos with juliaup installed with brew?
I just get an error: GUI binary not found at '/opt/homebrew/bin/juliaupgui'. The juliaupgui component may not be installed.
Juliaup 1.22.3
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Can you access the new `juliaup gui` on macos with juliaup installed with brew?
I just get an error: GUI binary not found at '/opt/homebrew/bin/juliaupgui'. The juliaupgui component may not be installed.
Juliaup 1.22.3
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Can you access the new `juliaup gui` on macos with juliaup installed with brew?
I just get an error: GUI binary not found at '/opt/homebrew/bin/juliaupgui'. The juliaupgui component may not be installed.
Juliaup 1.22.3
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I get a feeling they intended the whole 1.13 syntax highlight system as more of a programmable interface, so there's a little bit of additional work for people like me who just wants highlights out of box.
I can see there being a Julia module for syntax/repl styling collection in the future, which could be interesting.
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I get a feeling they intended the whole 1.13 syntax highlight system as more of a programmable interface, so there's a little bit of additional work for people like me who just wants highlights out of box.
I can see there being a Julia module for syntax/repl styling collection in the future, which could be interesting.
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I get a feeling they intended the whole 1.13 syntax highlight system as more of a programmable interface, so there's a little bit of additional work for people like me who just wants highlights out of box.
I can see there being a Julia module for syntax/repl styling collection in the future, which could be interesting.
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I get a feeling they intended the whole 1.13 syntax highlight system as more of a programmable interface, so there's a little bit of additional work for people like me who just wants highlights out of box.
I can see there being a Julia module for syntax/repl styling collection in the future, which could be interesting.
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If you're like me and wondering what's happening with built-in syntax highlight in #Julialang 1.13. Some of your usual code highlighted under OhMyREPL might show up as regular texts since default in 1.13 is VERY conservative about highlights.
You need to copy in the monokai example from repl doc page as faces.toml in .julia/config to get something closer to OhMyREPL experience.
https://docs.julialang.org/en/v1/stdlib/REPL/#Syntax-Highlighting
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If you're like me and wondering what's happening with built-in syntax highlight in #Julialang 1.13. Some of your usual code highlighted under OhMyREPL might show up as regular texts since default in 1.13 is VERY conservative about highlights.
You need to copy in the monokai example from repl doc page as faces.toml in .julia/config to get something closer to OhMyREPL experience.
https://docs.julialang.org/en/v1/stdlib/REPL/#Syntax-Highlighting
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If you're like me and wondering what's happening with built-in syntax highlight in #Julialang 1.13. Some of your usual code highlighted under OhMyREPL might show up as regular texts since default in 1.13 is VERY conservative about highlights.
You need to copy in the monokai example from repl doc page as faces.toml in .julia/config to get something closer to OhMyREPL experience.
https://docs.julialang.org/en/v1/stdlib/REPL/#Syntax-Highlighting
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If you're like me and wondering what's happening with built-in syntax highlight in #Julialang 1.13. Some of your usual code highlighted under OhMyREPL might show up as regular texts since default in 1.13 is VERY conservative about highlights.
You need to copy in the monokai example from repl doc page as faces.toml in .julia/config to get something closer to OhMyREPL experience.
https://docs.julialang.org/en/v1/stdlib/REPL/#Syntax-Highlighting
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If you're like me and wondering what's happening with built-in syntax highlight in #Julialang 1.13. Some of your usual code highlighted under OhMyREPL might show up as regular texts since default in 1.13 is VERY conservative about highlights.
You need to copy in the monokai example from repl doc page as faces.toml in .julia/config to get something closer to OhMyREPL experience.
https://docs.julialang.org/en/v1/stdlib/REPL/#Syntax-Highlighting
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Julia v1.13.0 release!!!
🟣🟢🔴
#JuliaLang
https://github.com/julialang/julia -
Julia v1.13.0 release!!!
🟣🟢🔴
#JuliaLang
https://github.com/julialang/julia -
Julia v1.13.0 release!!!
🟣🟢🔴
#JuliaLang
https://github.com/julialang/julia -
Julia v1.13.0 release!!!
🟣🟢🔴
#JuliaLang
https://github.com/julialang/julia -
Julia v1.13.0 release!!!
🟣🟢🔴
#JuliaLang
https://github.com/julialang/julia -
Hmm - I hope this is just me, but if you were using Julia for any production level stuff I'd hold off on updating to 1.13 for now.
Running into strange errors if my config/startup.jl contains references to OhMyREPL, and also running into bunch of precompilation errors in different environments I didn't see before update.
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Hmm - I hope this is just me, but if you were using Julia for any production level stuff I'd hold off on updating to 1.13 for now.
Running into strange errors if my config/startup.jl contains references to OhMyREPL, and also running into bunch of precompilation errors in different environments I didn't see before update.
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Hmm - I hope this is just me, but if you were using Julia for any production level stuff I'd hold off on updating to 1.13 for now.
Running into strange errors if my config/startup.jl contains references to OhMyREPL, and also running into bunch of precompilation errors in different environments I didn't see before update.
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Hmm - I hope this is just me, but if you were using Julia for any production level stuff I'd hold off on updating to 1.13 for now.
Running into strange errors if my config/startup.jl contains references to OhMyREPL, and also running into bunch of precompilation errors in different environments I didn't see before update.
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Hmm - I hope this is just me, but if you were using Julia for any production level stuff I'd hold off on updating to 1.13 for now.
Running into strange errors if my config/startup.jl contains references to OhMyREPL, and also running into bunch of precompilation errors in different environments I didn't see before update.
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#Julialang Julia 1.13 is out! I see they have built in repl syntax highlight. How does it compare to OhMyREPL? Is it time to retire a piece of my setup?
Also it looks like juliaup ships with gui - I have mixed feelings about that one. Why not just have a separate gui option for download? Juliaup isn't the most complex cli program out there, so I'm not sure who this is aimed at.
#Julia 1.13 Highlights
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#Julialang Julia 1.13 is out! I see they have built in repl syntax highlight. How does it compare to OhMyREPL? Is it time to retire a piece of my setup?
Also it looks like juliaup ships with gui - I have mixed feelings about that one. Why not just have a separate gui option for download? Juliaup isn't the most complex cli program out there, so I'm not sure who this is aimed at.
#Julia 1.13 Highlights
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#Julialang Julia 1.13 is out! I see they have built in repl syntax highlight. How does it compare to OhMyREPL? Is it time to retire a piece of my setup?
Also it looks like juliaup ships with gui - I have mixed feelings about that one. Why not just have a separate gui option for download? Juliaup isn't the most complex cli program out there, so I'm not sure who this is aimed at.
#Julia 1.13 Highlights
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#Julialang Julia 1.13 is out! I see they have built in repl syntax highlight. How does it compare to OhMyREPL? Is it time to retire a piece of my setup?
Also it looks like juliaup ships with gui - I have mixed feelings about that one. Why not just have a separate gui option for download? Juliaup isn't the most complex cli program out there, so I'm not sure who this is aimed at.
#Julia 1.13 Highlights
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Am really enjoying using Julia as a pseudo-shell.
I needed to chop up some pdfs and rearrange the pages. Poppler-utils is great but I never really learnt Bash scripting so it was going to be a bit of a slog.
Thankfully, Julia makes it really easy to bulk copy or move files in mostly regular sequences
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Fake data simulation to the rescue!
I couldn't get optimization to work when working with the model for German migration, so I finally decided to generate a full dataset using the model itself. Then try to recover the parameters I used. Still had problems... which is a bad sign, but led to debugging some simple code bugs... and now it fits like crazy!
#statistics #socialscience #data #datascience #julialang #turinglang
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New #EEG #unfold v0.6 #julialang
Major speedup in fitting time: ⚡Our newly supported GPU implementation fits the largest #rERP models in <2min for 128 channels instead of multi-hours🚀!
Also: Loading time reduced to 2s from 15s, should feel snappier.
Supports many "#ERP 2.0" analyses: rERP, LinearModels, continuous Effects, Non-linear effects (GAM), MixedModels
And yes, you can also call it from #python if you need, tutorial in docs
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ArviZ is participating in Google Summer of Code 2023 under the NumFOCUS umbrella. We have projects in both Python and Julia. If interested in working on one of these projects, get in touch!
https://github.com/arviz-devs/arviz/wiki/GSoC-2023-projects
#GSOC #NumFOCUS #Python #JuliaLang #TuringLang #bayesian #FOSS -
Soon Turing.jl users will be able to natively store all sampling outputs in an @ArviZ InferenceData object.
To experiment with the bleeding edge, check out https://github.com/sethaxen/DynamicPPLInferenceObjects.jl!