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  1. Connect to the Python Jupyter kernel and folder on Visual Studio Code.

    1 vote

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  2. 1 vote

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  3. How do I decide which template workspaces are suitable for me? There are lots of them, and the only tools provided to discover if it might be interesting to look at are filtering by technology, and a sentence of description.

    I want to filter templates by the skills demonstrated in the template (or at least topics).

    I'd also like to see prerequisite courses so I know that I have the skills needed to work with that template before I open it.

    1 vote

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  4. To rearrange the created workspaces in the order of our choice

    1 vote

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  5. 2 votes

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  6. When working locally in R, I have a .Rprofile file to customize startup. While I can upload this into a Workspace, it's too much hassle to bother with for every Workspace I open. I want to write a custom startup file once, have it associated with my profile so that it is automatically included in any Workspace I create.

    • Might need a vanilla option for opening Workspaces to disable this behavior.
    • Also need a Python equivalent with the PYTHONSTARTUP environment variable set to find it.
    • For shared Group Workspaces, would probably need an Rprofile.site file that can be edited by…
    1 vote

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  7. Currently, when you delete a Workspace there is no way to restore them if you make a mistake, which has the potential for disastrous accidental deletion of useful work.

    A recycle bin feature would allow you to remove clutter without the worry that deletion decisions are final.

    1 vote

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  8. Some tasks, like package development, don't lend themselves nicely to Jupyter notebooks. For those sorts of tasks, a full IDE is more helpful.

    In theory, I can open an R Workspace and use RStudio for Python development work, but that feels odd.

    I want a proper Python cloud IDE - the ones used in DataCamp IDE Exercises would be suitable.

    1 vote

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  9. To code until the dawn :)

    1 vote

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  10. The possibility to embed the workspaces in blogposts or personal website content would be great.

    2 votes

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  11. 3 votes

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  12. If you are going to provide courses covering a topic like mpl_toolkits.basemap you should probably include those libraries available in workspace.

    1 vote

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  13. It would be nice if we have the option to add Kite or enable the code autocomplete in the Jupyter Notebooks for Python :)

    1 vote

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  14. Some of the shortcuts doesn't work, such as adding a code chunk in rmd file. It would be easier and functional to use Rstudio desktop app shortcuts in workspace.

    1 vote

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  15. Install Java in the workspace. Without Java, you can't use the H2O library, which has an API in both R and Python, and which has the best performing AutoML I have ever seen.

    1 vote

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  16. 1 vote

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  17. I tried to add the tag 'hide_input' to cells but it does not seem to work. It should be hiding the contents of the cell, while allowing to display them with a button.

    2 votes

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  18. Save all user-installed R packages so that when an R workspace is reopened, all new packages are available. Currently, a user must run install.packages('skimr'), for example, every time the same workspace is opened in order to use the skimr package.

    This feature would also be great for pip or conda installs in python workspaces.

    1 vote

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  19. Hi,

    Is it possible to implement Pyspark in the workspace to practice what we learned with the different "Pyspark" courses in Datacamp ?

    Regards,

    Lionel

    1 vote

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  20. 2 votes

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