EconPapers    
Economics at your fingertips  
 

Data Types

Irfan Elahi

Chapter Chapter 5 in Scala Programming for Big Data Analytics, 2019, pp 57-79 from Springer

Abstract: Abstract In our daily life, we encounter data of varying nature. For instance, our names consist of letters, our mobile numbers are numbers, our decisions are usually yes (true) or no (false). To represent these and many other types, every programming language has a type system to support this notion. Using the combination of different types that come with a language’s type system, we can create variables associated with these types to implement tasks of varying nature. Like many other languages, Scala has a strong type system (which in fact is more sophisticated than many others) and there are different types available out of the box that you can use and work with.

Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4842-4810-2_5

Ordering information: This item can be ordered from
http://www.springer.com/9781484248102

DOI: 10.1007/978-1-4842-4810-2_5

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-1-4842-4810-2_5