Fixed notebooks and YAML files; added a pyproject.toml for compatibility with poetry

[NormannR]

No description provided.

[albop]

The pyproject.toml is a nice touch. It is a way to require the right version from dolo and dolark. But in this instance, it complicates stuff a little bit, because we have jupyter notebooks. The kernels need to have the right versions of the library, and I"m not sure how we can ensure that.

[NormannR]

It is possible to run ipykernel within the poetry environment and the dependencies are properly shared. In VSCode, for example, choosing the poetry environment interpreter works well on my computer.

[albop]

Ok, I'll test. I thought the ipykernels were shared by the session and indépendent from the environments (each kernel activating it's own environment)

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On Mon, Dec 21, 2020, 5:44 PM Normann Rion ***@***.***> wrote: It is possible to run ipykernel within the poetry environment and the dependencies are properly shared. In VSCode, for example, choosing the poetry environment interpreter works well on my computer. — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#22 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AACDSKJDESSK22CD75ZSLO3SV53NPANCNFSM4VENQ5YQ> .

[NormannR]

I thought too, but it ended up working without manipulation. Otherwise, adding the environment to the kernelspec through a python -m ipykernel install --user --name=myenv or modifying the kernel.json file should do the trick.

I only modified the notebooks. If they are validated, I shall export them to the .py format before the PR is merged.