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Learning Scala Programming

You're reading from Learning Scala Programming Object-oriented programming meets functional reactive to create Scalable and Concurrent programs

Product type Paperback

Published in Jan 2018

Publisher Packt

ISBN-13 9781788392822

Length 426 pages

Edition 1st Edition

Languages

Scala

Tools

Akka

Concepts

Programming Language

Author (1):

Vikash Sharma

View More author details

Table of Contents (16) Chapters

1. Getting Started with Scala Programming

2. Building Blocks of Scala FREE CHAPTER

3. Shaping our Scala Program

4. Giving Meaning to Programs with Functions

5. Getting Familiar with Scala Collections

6. Object-Oriented Scala Basics

7. Next Steps in Object-Oriented Scala

8. More on Functions

9. Using Powerful Functional Constructs

10. Advanced Functional Programming

11. Working with Implicits and Exceptions

12. Introduction to Akka

13. Concurrent Programming in Scala

14. Programming with Reactive Extensions

15. Testing in Scala

16. Other Books You May Enjoy

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Implicit conversions

The Standard Scala FAQ page describes implicit conversions as: "If one calls a method m on an object o of a class C and that class C does not support method m, then Scala compiler will look for an implicit conversion from C type to something that does support m method".

The idea is clear: it's a synthetic behavior (using a method) that we're forcing on instances of a particular type, and these behaviors (methods) aren't a part of the defined type. It's like we have a library with certain functionalities already available and we want to give some add-on functionality to a certain type from the library. Think about it—this is powerful. Having the ability to add on a functionality for a particular type is itself powerful. And that's what implicits let us do. We'll try our hand at something like the following.

First, think of a scenario where we want to create some syntax methods. We have a few methods available for the date-time library java.time.LocalDate that can help us...

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Authors (1)

Sharma

Sharma

Tushar Sharma has a master's degree specializing in data science from the International Institute of Information Technology, Bangalore. He works as a data scientist with Intel. In his previous job he used to work as a research engineer for a financial consultancy firm. His work involves handling big data at scale generated by the massive infrastructure at Intel. He engineers and delivers end to end solutions on this data using the latest machine learning tools and frameworks. He is proficient in R, Python, Spark, and mathematical aspects of machine learning among other things. Tushar has a keen interest in everything related to technology. He likes to read a wide array of books ranging from history to philosophy and beyond. He is a running enthusiast and likes to play badminton and tennis.

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