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Data Analysis with Python
book

Data Analysis with Python

by David Taieb
December 2018
Beginner to intermediate
490 pages
10h 38m
English
Packt Publishing
Content preview from Data Analysis with Python

Chapter 2. Python and Jupyter Notebooks to Power your Data Analysis

"The Best Line of Code is the One You Didn't Have to Write!"

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In the previous chapter, I gave a developer's perspective on data science based on real experience and discussed three strategic pillars required for successful deployment with in the enterprise: data, services, and tools. I also discussed the idea that data science is not only the sole purview of data scientists, but rather a team sport with a special role for developers.

In this chapter, I'll introduce a solution—based on Jupyter Notebooks, Python, and the PixieDust open source library—that focuses on three simple goals:

  • Democratizing data science by lowering the barrier to entry for non-data scientists
  • Increasing ...
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Publisher Resources

ISBN: 9781789950069