colab-julia-bootstrap
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PackageCompiler and ready-to-go sysimage ?
With "academic teaching" in mind, do you think it is possible to shorten the setup time, packages installation, etc. and offer a ready-to-go kernel and julia sysimage?
Time-to-first-plot (from a Jupyter notebook) would for instance also be reduced, if (say) Plots.jl was precompiled inside the system image.
I played within a Google Colab notebook and managed to generate a *.so image (<300MB), although some warnings appeared during the linking stage.
I see that this large file could be placed somewhere online and downloaded with wget. Then the `kernel.json' might be updated to include the extra option to the command line flags and options passed to Julia executable.
Do you think it is feasible?