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.
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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.
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