2.1. Go language course

发布时间 : 2023-10-12 23:00:10 UTC      

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Go is an open source programming language that makes it easy to build simple, reliable, and efficient software.

Go was developed by Robert Griesemer, Rob Pike, Ken Thompson at the end of 2007, and later joined Ian Lance Taylor, Russ Cox and others, and finally opened source in November 2009, and released a stable version of Go 1in early 2012. Now the development of Go is completely open and has an active community.

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2.1.1. Go language features #

  • Concise, fast and safe

  • Parallel, interesting, open source

  • Memory management, array security, fast compilation

2.1.2. Go language usage #

The Go language is designed to be used in carrying Web system programming language for servers, storage clusters or giant central servers for similar purposes.

For the field of high-performance distributed systems Go languages are undoubtedly more efficient than most other languages. It provides massive support for parallelism, which is great for game server development.

2.1.3. The first Go program #

Next, let’s write the first Go program hello.go ( Go extension of the language source file is .go ), the code is as follows:

2.1.4. hello.go file #

package main
import "fmt"
func main() {
    fmt.Println("Hello, World!")
}

To execute Go language code can be used go run orders.

Execute the above code output:

$ go run hello.go
Hello, World!

In addition, we can also use go build command to generate binaries:

$ go build hello.go
$ ls
hello    hello.go
$ ./hello
Hello, World!
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.