Why Jupyter Notebooks Are So Popular Among Data Scientists

Born out of IPython in 2014, Jupyter Notebook has seen an enthusiastic adoption among the data science community, to an extent where it has become a default environment for research. By definition, Jupyter is a free, open-source interactive web-based computational notebook. Computational notebooks have been around for several years; however, Jupyter, in particular, has exploded in popularity over the past couple of years. This nifty tool supports multi-language programming and therefore became the de facto choice for data scientists for practising and sharing various codes, quick prototyping, and exploratory analysis.


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