Comments (18)
I think that would be a very good start. Are you thinking about migrating notebooks from dask-tutorial or old-dask-example? It might be confusing to a new user to see 3 repos with examples and tutorials(It definitely confused me)
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I'm not sure, what do you think would be best?
If we did move things from other other repositories we would want to update and clean them up for the expected runtime environment of this repository: https://github.com/dask/dask-examples#contributing
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I think at a minimum old-dask-example should be retired and the content migrated to dask-examples where applicable. As for the dask-tutorial I'm not sure.
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I think it'd be great to move over the content that still makes sense. A lot of those notebooks were made a few years ago and may no longer be the best ways of doing things. They also may not be easily runnable, I'm not sure. I'm all in favor of moving things over, I just want to make sure that people actively look at the content they're moving and make judgments on it.
How would you recommend retiring the old repository?
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Well I think I would go notebook by notebook and migrate over any content that is relevant/useful. Then add DEPRECATED to repo description and at the top of the README. Optionally then if you want then we could remove notebooks from that repo as they are migrated.
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I will get started on this over the weekend then. Once the CI code is merged it should make checking them easy :)
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@mrocklin from my initial read through and comparison it looks like this repo has most of the same content. The only difference is the sample projects that looked at nyc taxi data or github. I would say we should start over on example products. Thoughts?
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@mrocklin and @mholtzscher what are some of your thoughts on the way HoloViews organized their examples? They have notebooks inside a examples directory with subdirectories.
In addition, how do we feel about using evaluated notebooks with tools like nbsphinx?
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@mrocklin I meant to say "projects" not "products." :)
@kvn219 I think that is very close to the goal we have discussed so far. I think There will be some notebooks at high level that are the basics and then folders of more advanced notebooks
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In addition, how do we feel about using evaluated notebooks with tools like nbsphinx?
@kvn219 I can see how that would be valuable. Is there an easy way to roll this into the core dask documentation?
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I recommend that we have a small number of notebooks at the top level, showing an introduction for each topic like arrays, dataframes, delayed, ML, ..., and also a directory for topics that have many additional notebooks.
@stsievert, you're now actually buidling more notebooks for machine learning. Thoughts on this organization?
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showing an introduction for each topic ... and also a directory for topics that have many additional notebooks. ... Thoughts on this organization?
That's the organization I've wanted. I've almost done it, but have instead been prefixing with machine-learning-
when I've wanted a directory machine-learning/
.
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Though right now it is clear visual separation between extraneous files and examples: all the extra files are in directories, and only the examples are plain files (besides a .travis.yml
and README.md
).
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I've hidden all of the extraneous directories in #17
I'm still inclined to group notebooks into directories
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Is there still things to do here? Should we close it once #41 is merged?
Should we close #13 without merging it?
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Looks like everything has been done here.
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Related Issues (20)
- Can not use "conda install" in binder environment HOT 12
- Placement of interactive dashboard in JupyterLab HOT 2
- Move default branch from "master" -> "main"
- json-data-on-the-web CI check timing out HOT 2
- Binder badge links give 404 errors from survey result notebooks HOT 4
- Remove binder banner in favour of theme banner
- Dashboard needs to be set up every time HOT 1
- Update dependencies and ensure all notebooks are working HOT 5
- Running the Bag example several times consecutively results in a `JSONDecodeError`
- Automatically clear notebook output HOT 1
- XGBoost example notebook uses deprecated dask-xgboost HOT 2
- Website missing `dask-sphinx-theme` font HOT 2
- Create an Example of Using TPOT Using Dataset that DOESN'T Fit in Memory HOT 1
- Large scale XGBoost example with HyperParameter Optimization HOT 21
- Binder build fails with conda conflict
- Attribute error in imshow of an image processing result HOT 2
- ML notebook points to ML tutorial lesson that was removed
- XGboost example outdated and broken doc links
- Calling len(ddf) within the 01_datraframe.ipynb tutorial fails due to mismatched dtypes.
- Dask slides hyperlink led to "Page not found" error HOT 3
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