por REPL (Read-eval-print-loop) in Scala within the world of Big Data is a tool essential for rapid development and data exploration and processing. Its use is not even remotely exclusive to Scala, but there are many languages that have a REPL (Read-eval-print-loop), such as Python.
Know this type of commands that will enhance your analysis of data is of great importance if you plan to become a complete data scientist. So, from , we bring you a brief introduction to what is REPL (Read-eval-print-loop) in Scala as part of the extensive world of Big Data.
What is Scala?
Before getting into the matter with the REPL (Read-eval-print-loop) tool in Scala or Scala repl. From we remind you what Scala refers to within the Big Data world. At the moment, Scala is one of the most used programming languages for the management and development of Big Data. This is due to how intuitive, concise and precise it is as a programming language.
Below, we present some of their main features What you should keep in mind if you plan to apply it in your big data processing:
First of all, it was created by Martin Odersky at EPFL (Federal Polytechnic School of Lausanne) in 2003. This is a general purpose language running on the JVM (Java Virtual Machine or Java Virtual Machine).
Scala is multi-paradigmthat is, it is functional and is object oriented, because it produces encapsulation, inheritance and has polymorphism. Lastly, it is used in DSL projects (Digital Subscriber Line or Digital Subscriber Line) and Big Data.
What is REPL (Read-eval-print-loop)?
REPL (Read-eval-print-loop) in Scala or Scala REPL It is one of the fundamental tools of the platform, since it allows an adequate review of Scala expressions during data processing.
In effect, the REPL (read eval print loop) function is a command that reads expressions, evaluates them, has a template and, quickly and efficiently, throws the results compiled and ready to run.
On the other hand, this tool has a wide variety of executable commands that will help you and facilitate data processing. Next, We show you what each of them are:
$intp
lastException
//print
:help
:load
:paste
:paste -raw
:javap
-Yrepl-outdir
:power
:settings
:replay
Yrepl-class-based
scala.Predef
Each of these commands applied to your data processing can help you perform actions such as load repl files, inspect artifacts or disable a code setting, among many other functions.
In short, this tool allows you configure and streamline data processing effectively and easily.
Learn more about Big Data
In this post, you have come across everything related to which is REPL (Read-eval-print-loop) in Scala as part of the Big Data world. However, this is only one of the alternatives and commands that you can implement in your data processing, so We encourage you to continue learning about the wide world of Big Data. There is still much to know!
For this reason, we recommend our Full Stack Bootcamp, Artificial Intelligence & Machine Learning, which will help you in your training and allow you to become a professional in this area of the technology sector. In its thematic development you will find the most used and most functional tools for managing Big Data, in order to highlight the value of information and facilitate issues such as decision making and action path in different areas. In less than nine months you will be able to have the necessary learning to function as an expert in big data processing. Sign up now!