IBM Cloud Databases - Structured Ideas

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Update notebooks to jupyter labs for full IDE integration

Current jupyter notebooks are useful for small tasks, but for full data science projects a larger ecosphere of tools and code storage are necessary. Jupyter labs is really young, but even so would fill in many of the current issues of our environment. http://blog.jupyter.org/2016/07/14/jupyter-lab-alpha/

  • Jim Crozier
  • Dec 14 2018
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  • chris snow commented
    December 14, 2018 17:59

    Another option if you are happy to setup your own local development environment: https://console.ng.bluemix.net/docs/services/AnalyticsforApacheSpark/index-gentopic5.html#genTopProcId6

  • Kendrick Wong commented
    December 14, 2018 17:59
  • chris snow commented
    December 14, 2018 17:59
  • Cecelia Shao commented
    December 14, 2018 17:59

    Hey team - just an update on this idea! Jim - many thanks for submitting this idea and Chris, Kendrick for responding and adding in additional flavor/thoughts. Incorporating a full Jupyter. We are anticipating support for and going through prototyping for the concept of environments in DSX (and JupyterLab would be one of them). This is a relatively complex requirement so will take longer to implement, but we understand our users are looking for a more powerful working space and it'll provide the capabilities that you all need to supercharge your data science projects! 

    If you would like to provide user feedback and participate in user research sessions for this requirement as we begin wiring/playing around, please email me — as always, feel free to direct specific questions and more private comments to me at cecelia.shao@ibm.com!


    Best,

    Cecelia Shao

    PM for DSX

  • Chris Snow commented
    December 14, 2018 17:59

    Scala support would be important for the data engineers who in my experience tend to prefer scala.