Scala Language
Irfan Elahi
Chapter Chapter 1 in Scala Programming for Big Data Analytics, 2019, pp 1-13 from Springer
Abstract:
Abstract Programming languages have been around for a very long time and have evolved significantly. Starting from the very foundational binary language, which merely consisted of 0 and 1 bits, a huge array of languages have been developed over the years to address a number of growing challenges in different contexts. All of these languages have a core purpose—to enable developers to write instructions in way that is understandable by computers with the goal of completing a specific task. Some languages specialize in a specific set of tasks, such as developing web applications, whereas others are preferred for Data Science and machine learning tasks. Yet others are recommended for developing applications in the Windows operating system, and the list goes on.
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_1
Ordering information: This item can be ordered from
http://www.springer.com/9781484248102
DOI: 10.1007/978-1-4842-4810-2_1
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 ().