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Scala: Guide for Data Science Professionals by Patrick R. Nicolas, Arun Manivannan, Pascal Bugnion

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Why Scala?

Like most functional languages, Scala provides developers and scientists with a toolbox to implement iterative computations that can be easily woven dynamically into a coherent dataflow. To some extent, Scala can be regarded as an extension of the popular MapReduce model for distributed computation of large amounts of data. Among the capabilities of the language, the following features are deemed essential to machine learning and statistical analysis.

Abstraction

Monoids and monads are important concepts in functional programming. Monads are derived from the category and group theory allowing developers to create a high-level abstraction as illustrated in Twitter's Algebird (https://github.com/twitter/algebird) or Google's Breeze Scala ...

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