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Why Jupyter Notebooks Are So Popular Among Data Scientists

Why Jupyter Notebooks Are So Popular Among Data Scientists
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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. Although there is no dearth of language-specific IDEs (Integrated Development Environments), such as PyCharm, Spyder, or Atom, because of its flexibility and interactivene
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Picture of Sejuti Das
Sejuti Das
Sejuti currently works as Associate Editor at Analytics India Magazine (AIM). Reach out at sejuti.das@analyticsindiamag.com
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