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One of the core components of Python's data-science story is Jupyter notebooks, a tool that supports not just Python, but other popular data-science languages such as Julia and R.
They aren’t the only forum for such conversations — IPython, the interactive Python interpreter on which Jupyter’s predecessor, IPython Notebook, was built, is another.
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