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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Summary
In this introductory chapter, we installed everything that we will be using throughout this book, from Python packages to examples. They were installed either directly or by using a scientific distribution. We also introduced Jupyter notebooks and demonstrated how you can have access to the data run in the tutorials.
In the next chapter, Data Munging, we will have an overview of the data science pipeline and explore all the key tools to handle and prepare data before you apply any learning algorithm and set up your hypothesis experimentation schedule.
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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.