October 2016
Beginner
378 pages
8h 21m
English
Content preview from Python Data Science Essentials - Second EditionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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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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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.