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Scala: Guide for Data Science Professionals
book

Scala: Guide for Data Science Professionals

by Pascal Bugnion, Arun Manivannan, Patrick R. Nicolas
February 2017
Beginner to intermediate
1100 pages
25h 19m
English
Packt Publishing
Content preview from Scala: Guide for Data Science Professionals

Why Scala?

You want to write a program that handles data. Which language should you choose?

There are a few different options. You might choose a dynamic language such as Python or R or a more traditional object-oriented language such as Java. In this section, we will explore how Scala differs from these languages and when it might make sense to use it.

When choosing a language, the architect's trade-off lies in a balance of provable correctness versus development speed. Which of these aspects you need to emphasize will depend on the application requirements and where on the permanence spectrum your program lies. Is this a short script that will be used by a few people who can easily fix any problems that arise? If so, you can probably permit a ...

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Publisher Resources

ISBN: 9781787282858Purchase Link