Jupyter Notebook (or Colab, databrisk’s notebook etc) provide a very efficient way for building a project in a short time. We can create any python class and function in the notebook without re-launching kernel. Helping to shorten the waiting time for that. It is good for small scale project and experiment. However, it may not good for long term growth.
Intuitively, velocity is the major consideration when we are doing Proof of Concept (PoC). When working on one of previous project, I explore whether or not text summarization technique can be applied to my data science problem.