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Healthcare Analytics Made Simple

You're reading from   Healthcare Analytics Made Simple Techniques in healthcare computing using machine learning and Python

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781787286702
Length 268 pages
Edition 1st Edition
Languages
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Authors (2):
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Vikas (Vik) Kumar Vikas (Vik) Kumar
Author Profile Icon Vikas (Vik) Kumar
Vikas (Vik) Kumar
Shameer Khader Shameer Khader
Author Profile Icon Shameer Khader
Shameer Khader
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Healthcare Analytics FREE CHAPTER 2. Healthcare Foundations 3. Machine Learning Foundations 4. Computing Foundations – Databases 5. Computing Foundations – Introduction to Python 6. Measuring Healthcare Quality 7. Making Predictive Models in Healthcare 8. Healthcare Predictive Models – A Review 9. The Future – Healthcare and Emerging Technologies 10. Other Books You May Enjoy

Data structures and containers

In the last section, we talked about variable types that store single values. Now we will move on to data structures that can hold multiple values. These data structures are lists, tuples, dictionaries, and sets. Lists and tuples are commonly referred to as sequences in Python. In this book, we will use the terms data structures and data containers interchangeably.

Lists

Lists are a widely used data structure that can hold multiple values. Let's look at some features of lists:

  • To make a list, we use square brackets, [].
    Example: my_list = [1, 2, 3].
  • Lists can hold any combination of numeric types, strings, Boolean types, tuples, dictionaries, or even other lists.
    Example: my_diverse_list...
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