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Hands-On Data Analysis with Scala

You're reading from   Hands-On Data Analysis with Scala Perform data collection, processing, manipulation, and visualization with Scala

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789346114
Length 298 pages
Edition 1st Edition
Languages
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Author (1):
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Rajesh Gupta Rajesh Gupta
Author Profile Icon Rajesh Gupta
Rajesh Gupta
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Table of Contents (14) Chapters Close

Preface 1. Section 1: Scala and Data Analysis Life Cycle FREE CHAPTER
2. Scala Overview 3. Data Analysis Life Cycle 4. Data Ingestion 5. Data Exploration and Visualization 6. Applying Statistics and Hypothesis Testing 7. Section 2: Advanced Data Analysis and Machine Learning
8. Introduction to Spark for Distributed Data Analysis 9. Traditional Machine Learning for Data Analysis 10. Section 3: Real-Time Data Analysis and Scalability
11. Near Real-Time Data Analysis Using Streaming 12. Working with Data at Scale 13. Another Book You May Enjoy

Overview of object-oriented and functional programming

Scala supports object-oriented and functional styles of programming. Both of these programming paradigms have been proven to help model and solve real-world problems. In this section, we will explore both of these styles of programming using Scala.

Object-oriented programming using Scala

In the object-oriented paradigm, you think in terms of objects and classes. A class can be thought of as a template that acts as a basis for creating objects of that type. For example, a Vehicle class can represent real-world automobiles with the following attributes:

  • vin (a unique vehicle identification number)
  • manufacturer
  • model
  • modelYear
  • finalAssemblyCountry

A concrete instance of...

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