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Python Data Science Essentials - Second Edition by Luca Massaron, Alberto Boschetti

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Introducing Jupyter

As previously mentioned, Jupyter deserves more than a brief presentation. We are going to delve fully in detail about its history, installation, and usage for data science. Initially known as IPython, the project was initiated in 2001 as a free project by Fernando Perez. With this work, the author intended to address a deficiency in the Python stack and provide to the public a user-programming interface for data investigations that could easily incorporate the scientific approach (mainly meaning experimenting and interactively discovering) in the process of data discovery and development of data science solutions.

A scientific approach implies fast experimentation of different hypotheses in a reproducible fashion (as does data ...

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