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Elements of Data Science
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  • Title: Elements of Data Science
  • Author(s) Allen B. Downey
  • Publisher: Green Tea Press; eBook (Creative Commons Licensed)
  • License(s): CC BY-NC 4.0
  • Paperback: N/A
  • eBook: HTML
  • Language: English
  • ISBN-10: N/A
  • ISBN-13: N/A
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Book Description

This book is an introduction to data science for people with no programming experience. The goal is to present a small, powerful subset of Python that allows you to do real work in data science as quickly as possible.

It doesn't assume that the reader knows anything about programming, statistics, or data science. When it uses a term, it tries to define it immediately, and when it uses a programming feature, it tries to explain it.

This book is in the form of Jupyter notebooks. Jupyter is a software development tool you can run in a web browser, so you don’t have to install any software. A Jupyter notebook is a document that contains text, Python code, and results. So you can read it like a book, but you can also modify the code, run it, develop new programs, and test them

About the Authors
  • Allen B. Downey is an American computer scientist, Professor of Computer Science at the Franklin W. Olin College of Engineering.
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