The julia 1.0 compatible version 0.11.0-alpha of the VSCode-Pugin for julia has just been released. It has to be installed using the .vsix-file from that link until it will be released as stable version.
I have been using the master branch of the plugin for the last few weeks and 1.0 support is pretty good now.
Hi @Seanny123 I am a fan of Atom and use it on Windows 10.
There is a linter package for Julia: https://atom.io/packages/linter-julia
Please put a message on this thread if you have trouble installing it.
Oh, I use the Atom Beta version. I have never found any instability with that.
It seems to work for me, thanks.
I’m using VS Code 1.28.2 on Windows 10 X64.
PD: I’ve just tried on a different computer with Windows 7 with VS Code 1.29.0 and it also works. And I haven’t needed to create exclusion rules on the firewall nor antivirus nor anything strange.
I’ve just installed Julia as administrator and VS Code and cofigured the path por VS Code.
Should we install these things as user instead?
I don’t want to have privilege problems when compiling packages.
Now I’ve tried to install the package Plots and I get this error:
Building GR → C:\Users\med\.julia\packages\GR\k8wwU\deps\build.log
┌ Error: Error building GR:
[ Info: Downloading pre-compiled GR 0.35.0 Windows binary
│ [ Info: Using insecure connection
│ [ Info: Cannot download GR run-time
│ ERROR: LoadError: IOError: chmod: no such file or directory (ENOENT)
│  uv_error at .\libuv.jl:85 [inlined]
│  #chmod#16(::Bool, ::Function, ::String, ::UInt16) at .\file.jl:829
│  chmod at .\file.jl:828 [inlined]
│  #rm#9(::Bool, ::Bool, ::Function, ::String) at .\file.jl:250
│  rm(::String) at .\file.jl:245
│  top-level scope at logging.jl:319
│  top-level scope at C:\Users\med.julia\packages\GR\k8wwU\deps\build.jl:91
│  include at .\boot.jl:317 [inlined]
│  include_relative(::Module, ::String) at .\loading.jl:1044
│  include(::Module, ::String) at .\sysimg.jl:29
│  include(::String) at .\client.jl:392
│  top-level scope at none:0
│ in expression starting at C:\Users\med.julia\packages\GR\k8wwU\deps\build.jl:63
└ @ Pkg.Operations
It is definitely compatible. Could you report your error messages? As long as the jupyter kernal can see your julia installation and you have IJulia installed, it you should be able to select julia from the GUI.