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start: provide code samples, make it more actionable #1943
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Yeah, we used to have this in the previous version of the GS. Not sure why we no longer have those since it can be hidden in an expandable section indeed. Let's do this unless you remember a reason for this @shcheklein ?
Also true, we should definitely address this part. Could be addressed by the same solution like Guro mentioned. |
We had it back and forth a few times already. Doing it completely reproducible and chapters independent makes it a hands-on tutorial like (which get started is not). It means longer read time, more distractions for users who want to get the idea quick, etc. The idea with the recent changes was to use Katacoda extensively to provide such playground (it still out of date btw, which is on of the biggest priorities). If Katacoda is not visible we should put links into the expandable sections. It should solve this problem (we had another complain recently, btw on Discord).
it's not marked optional. The problem should be addressed in a similar way:
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Also, don't forget that we have the whole project prepared - iterative/example-get-started that can be taken, any tag can be |
Yes, we can just fix the specific issues Guro reported for now.
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Being addressed (or not) in #3998
No longer applicable to https://dvc.org/doc/start/experiment-management/experiments This is done 🙂 |
Hmmm well, I guess this part has not been addressed but I'm not sure it's still wanted. I've started #4000 to discuss and address this. |
It would be great that every chapter of Get Start provides instruction how to prepare a needful repo structure to proceed further
At this moment it's hard to init needful structure if you start not from the first chapter
In one chapter such approach is applied - https://dvc.org/doc/start/data-management/data-pipelines
git init
, covered withPlease also add or commit the source code directory with Git at this point
dvc init
data/data.xml
model.pkl
there. But addingmodel.pkl
is marked optional a the previous chapter Data Pipelines/Dependency graphs (DAGs)/Expand to add more stages. So the user can easier skip the step and after get an error in Experiments.Providing at the start of every chapter the steps how to initialize the repo will make chapters independent and help to avoid few errors
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