Principles and Techniques of Data Science

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Principles and Techniques of Data Science

By Sam Lau, Joey Gonzalez, and Deb Nolan.

This is the textbook for Data 100, the Principles and Techniques of Data Science course at UC Berkeley.

Data 100 is the upper-division, semester-long data science course that follows Data 8, the Foundations of Data Science. The reader’s assumed background is detailed in the About This Book page.

The contents of this book are licensed for free consumption under the following license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

To set up the textbook for local development, see the the setup guide.

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https://www.textbook.ds100.org/

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关键词：Data Science Principles Techniques principle Technique

这种网络书好

miragew 发表于 2019-4-29 17:26
Principles and Techniques of Data ScienceBy Sam Lau, Joey Gonzalez, and Deb  ...

miragew 发表于 2019-4-29 17:26
Principles and Techniques of Data ScienceBy Sam Lau, Joey Gonzalez, and Deb  ...

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Principles and Techniques of Data Science

Why is Python the number one language? Because it is incredibly easy to learn
and use. Part of it is its simplified syntax and its natural-language flow, but a lot
of it has to do with the amazing user community and the breadth of applications
available.