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Attach "library code" to Project

See this idea on ideas.ibm.com

A common path for an analytics project is

 

1. Create several notebooks investigating various hypotheses

2. Identify common code across notebooks and refactor that code out into a common library

.

.

.

99. Build a portable version of library code according to best practices in the chosen programming language.

 

In DSX today we don't have a good way to manage that common library code. We only have "notebooks". A savvy developer who is comfortable building libraries and deploying them can generate those common libraries and install them with Pixiedust, but that's beyond the reach of most data scientists. It would be helpful to smooth that learning curve with an easy way to deploy some library code meant to be imported into other notebooks.

  • Guest
    Dec 14, 2018

    While we don't fully support making the code that you develop on studio portable across projects, I can see this having a place in Custom Environments. We're planning on supporting Jupyter Lab in 1Q 2019, this will make a difference as well. More filesystem support coming in 4Q should also help mitigate these pains. However, I do think that we can develop something more comprehensive here, but we don't have a clean solution today. 

  • Guest
    Dec 14, 2018

    Possibly quite relevant:

    http://jupyter-notebook.readthedocs.io/en/latest/examples/Notebook/Importing%20Notebooks.html