#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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I"m taking a few minutes to check out the Julia Language and see what I could do with it.
Does anyone use it for bioinformatics or public health?
#julialang #bioinformatics #publichealth -
I"m taking a few minutes to check out the Julia Language and see what I could do with it.
Does anyone use it for bioinformatics or public health?
#julialang #bioinformatics #publichealth -
I"m taking a few minutes to check out the Julia Language and see what I could do with it.
Does anyone use it for bioinformatics or public health?
#julialang #bioinformatics #publichealth -
I"m taking a few minutes to check out the Julia Language and see what I could do with it.
Does anyone use it for bioinformatics or public health?
#julialang #bioinformatics #publichealth -
I"m taking a few minutes to check out the Julia Language and see what I could do with it.
Does anyone use it for bioinformatics or public health?
#julialang #bioinformatics #publichealth -
This is a reminder that the registration for SDSL 2026 is end of May.
You are developing tools for spatial data science?
Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.
Connect R, Python, Julia & more in spatial science.
Apply for on-site participation till end of May 2026.
More infos: https://spatial-data-science.github.io/2026/
Register directly: https://survey.academiccloud.de/f/861612?lang=en
#SDSL #geospatial #julialang #python #R
#SDSL2026
#SpatialDataScience
#OpenSource
#RSpatial
#Geopython
#Juliageo -
You are developing tools for spatial data science?
Join us at this years workshop for Spatial Data Science across Languages (SDSL) 2026 – Sept 16–17 (+18), Jena, Germany.
Connect R, Python, Julia & more in spatial science.
Apply for on-site participation till end of May 2026.
More infos: https://spatial-data-science.github.io/2026/
Register directly: https://survey.academiccloud.de/f/861612?lang=en
#SDSL #geospatial #julialang #python #R
#SDSL2026
#SpatialDataScience
#OpenSource
#RSpatial
#Geopython
#Juliageo -
Some more #work stuff.
Getting an European Research Council (ERC) grant had this terrible outcome that I thought: now we can do in-depth, thoughtful research without cutting corners and ducktape solutions. Understanding #evolution in the #fossil record required a reproducible model representation of that record and we weren't satisfied with any of the existing models. Computer models made by (Earth) scientists are rarely very good, because we are not necessarily trained to make them, but to model events happening over hundreds of thousands of years, we crucially rely on their quality.
So we decided to develop one. Thanks to its main developer Johan Hidding @eScienceCenter and the collaboration with Peter Burgess, Xianyi Liu and @Niklas_Hohmann we have a fast, sustainable, #OpenSource package in #julialang for modeling #carbonate platforms.
The preprint is out for public review: please leave us a comment at https://egusphere.copernicus.org/preprints/2025/egusphere-2025-4561/ or try CarboKitten.jl at https://mindthegap-erc.github.io/CarboKitten.jl/
#geoscience #stratigraphy #sedimentology -
Earn money working on open source software #oss! New project just posted: help make wrappers to connect Symbolics.jl to SymPy. $300 bounty. Information for signing up for the #SciML small grants program are contained in the link:
https://sciml.ai/small_grants/#create_wrapper_functions_to_sympy_for_symbolicsjl_300
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SymPy in Julia is actually awesome! It feels more ergonomic to use in Pluto notebook than the native Python package does in Jupyter, which is the opposite of what I expected.
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Just a bit of #julialang looking ridiculously awesome :)
Based on #Ferrite by @koehlerson et al. https://ferrite-fem.github.io/Ferrite.jl/stable/
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Here is my first pass at this #JuliaLang wrapper for #FEBio:
https://github.com/febiosoftware/FEBio.jl#opensource #openscience #FiniteElementAnalysis #ComputationalMechanics #Biomechanics
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Sneak peek at my #JuliaLang wrapper for #FEBio, an advanced #FiniteElement solver for #ComputationalMechanics and #Biomechanics
More on FEBio here:
https://febio.org/
https://github.com/febiosoftware/FEBio