IBM Data Platform Ideas Portal for Customers
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This portal is to open public enhancement requests against products and services offered by the IBM Data Platform organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).
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We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:
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Start by searching and reviewing ideas and requests to enhance a product or service. Take a look at ideas others have posted, and add a comment, vote, or subscribe to updates on them if they matter to you. If you can't find what you are looking for,
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Specific links you will want to bookmark for future use
Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.
IBM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.
ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.
IBM Employees should enter Ideas at https://ideas.ibm.com
Hi Snehal,
thx for your answer. What exactly is the architectural difference between RStudio and Notebooks/JupyterLab? As far as I know Jupyterlab have also a persistent folder, where data and notebooks are stored? Why not for pyhton packages?
Could you please technically explain why this is not possible? The option "https://www.ibm.com/docs/en/cloud-paks/cp-data/4.0?topic=pip-customizing#pip-from-service-storage" need CPD admin role which not every data scientist have
RStudio has a different architecture with home folders for user. Notebooks and JupyterLab doesn't have this and we do not plan to introduce it. Instead there is already a way for CPD admins to store python customization in shared folders - https://www.ibm.com/docs/en/cloud-paks/cp-data/4.0?topic=pip-customizing#pip-from-service-storage
Hi Snehal, thanks for the answer. Creating a custom image always requires the intervention of an administrator. We would like to run the analytical applications on CP4D as a self service platform, where the data scientist can install and manage the packages themselves. Is there a reason not to store the Python packages in the home directory - like in RStudio? In RStudio the Data Science colleagues manage the packages with renv and the packages are stored in the wsuser home directory.
User can use custom images to avoid Installing packges with runtime start.
Docs -
https://www.ibm.com/docs/en/cloud-paks/cp-data/4.0?topic=environments-customizing