8.1. Scala tutorial

发布时间 :2023-11-09 23:00:02 UTC      

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Scala is a multi-paradigm programming language, which is designed to integrate the features of object-oriented programming and functional programming.

Scala runs on the Java virtual machine and is compatible with existing Java programs.

The Scala source code is compiled into Java bytecode, so it can run on JVM and can call existing Java class libraries.

8.1.1. Who is suitable for this tutorial? #

This tutorial is for developers who want to learn the Scala programming language from scratch. Of course, this tutorial will also go deep into some modules to give you a better understanding of the application of Scala.

8.1.2. Before you take this tutorial, you need to know #

Before continuing this tutorial, you should know some basic computer programming terms. If you have studied the Java programming language, it will help you understand Scala programming faster.

Take the Java tutorial.

8.1.3. The first Scala program: Hello World #

The following are typical examples written in Scala Hello World Program:

Example(HelloWorld.scala) #

object HelloWorld {
    def main(args: Array[String]): Unit = {
        println("Hello, world!")
    }
}

Save the above code as HelloWorld.scala file, execute the above scala program (you can also execute it directly online):

$scalac HelloWorld.scala//Compile the source code into bytecode
$scala HelloWorld//Put the bytecode into the virtual machine to explain and run it

The output is as follows:

Hello, world!

8.1.4. Related document recommendation #

The following is a copy Scala language norm.pdf ,the document can be used as a reference for learning.

Principles, Technologies, and Methods of Geographic Information Systems  102

In recent years, Geographic Information Systems (GIS) have undergone rapid development in both theoretical and practical dimensions. GIS has been widely applied for modeling and decision-making support across various fields such as urban management, regional planning, and environmental remediation, establishing geographic information as a vital component of the information era. The introduction of the “Digital Earth” concept has further accelerated the advancement of GIS, which serves as its technical foundation. Concurrently, scholars have been dedicated to theoretical research in areas like spatial cognition, spatial data uncertainty, and the formalization of spatial relationships. This reflects the dual nature of GIS as both an applied technology and an academic discipline, with the two aspects forming a mutually reinforcing cycle of progress.