Data Science Notebook Life-Hacks I Learned From Ploomber
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Me, a data scientist, and Jupyter notebooks. Well, our relationship started back then when I began to learn Python. Jupyter notebooks were my refuge when I wanted to make sure that my code works. Nowadays, I teach coding and do several data science projects and still, notebooks are the best tools for interactive coding and experimentation. Unfortunately, when trying to use notebooks in data science projects, things can get out of control quickly. As a result of experimentation, monolithic notebooks emerge, which are hard to maintain and modify. And yes, it’s very time-consuming to work twice: experiment and then transform your code to Python scripts. Not to mention, it’s painful to test such code, and version control