What is the usage of golang range?
As an efficient and concise programming language, Golang (also known as Go) continues to win more and more supporters and developers. Its rich libraries and concise syntax make Golang very convenient and pleasant to use. In this article, we will introduce the usage of range in Golang in detail to better utilize Golang for programming!
What is range?
Range is a built-in function in Golang. It can directly take out each element in the collection (array, slice, map, etc.), which is very convenient to use. In the actual programming process, we often use the range function to traverse the data collection for calculation, printing, filtering and other operations.
Basic syntax for using range
The basic syntax for range is as follows:
for index, value := range collection {
// 针对value和index进行操作
}
Where index represents the index of the current element traversed, and value represents the current element traversed.
For example, we can use range to traverse an integer array:
package main
import "fmt"
func main() {
nums := []int{2, 3, 4} sum := 0 for _, num := range nums { sum += num } fmt.Println("sum: ", sum)
}
Result output: sum: 9
In the above code, we traverse each element in the array nums in turn, and accumulate according to =, Finally the sum of the elements is calculated.
Using indexes in range
In range, we can use subscripts (indexes) to traverse collection elements while outputting element subscripts and values:
package main
import "fmt"
func main() {
nums := []int{2, 3, 4} for i, num := range nums { fmt.Printf("index: %d, value: %d\n", i, num) }
}
When you run this program, you will get the following output:
index: 0, value: 2
index: 1, value: 3
index: 2, value: 4
Ignore index in range
If we don't need to use an index in the range, we can ignore it and use "_" instead.
package main
import "fmt"
func main() {
nums := []int{2, 3, 4} for _, num := range nums { fmt.Println("value: ", num) }
}
Output result:
value: 2
value: 3
value: 4
Using map in range
In addition to processing arrays and slices in range, we can also process Mapping (Map), the specific implementation is as follows:
package main
import "fmt"
func main() {
kvs := map[string]string{"a": "apple", "b": "banana"} for k, v := range kvs { fmt.Printf("%s -> %s\n", k, v) }
}
Output result:
a -> apple
b -> banana
It can be seen that in range we can not only process arrays and slices, but also easily traverse Map.
Using channel in range
In addition to arrays, slices and mappings, we can also traverse channels (Channel) in range. The sample code is as follows:
package main
import "fmt"
func main() {
c := make(chan int, 2) c <- 1 c <- 2 close(c) for v := range c { fmt.Println(v) }
}
Output result:
1
2
In the above example code, we define a channel c with a capacity of 2, put the two values 1 and 2 into the channel, and finally close the channel through the close() function. When using a channel in a range, the loop will automatically exit when the channel is closed.
Summary
In Golang, range is a very convenient way to traverse various data structures. Through the range function, we can easily traverse various data types to obtain the data we need. Whether dealing with arrays, slices, maps, or channels, using range is an efficient and elegant way to help us achieve the true meaning of our program.
The above is the detailed content of What is the usage of golang range?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



OpenSSL, as an open source library widely used in secure communications, provides encryption algorithms, keys and certificate management functions. However, there are some known security vulnerabilities in its historical version, some of which are extremely harmful. This article will focus on common vulnerabilities and response measures for OpenSSL in Debian systems. DebianOpenSSL known vulnerabilities: OpenSSL has experienced several serious vulnerabilities, such as: Heart Bleeding Vulnerability (CVE-2014-0160): This vulnerability affects OpenSSL 1.0.1 to 1.0.1f and 1.0.2 to 1.0.2 beta versions. An attacker can use this vulnerability to unauthorized read sensitive information on the server, including encryption keys, etc.

The article explains how to use the pprof tool for analyzing Go performance, including enabling profiling, collecting data, and identifying common bottlenecks like CPU and memory issues.Character count: 159

The article discusses writing unit tests in Go, covering best practices, mocking techniques, and tools for efficient test management.

The library used for floating-point number operation in Go language introduces how to ensure the accuracy is...

Queue threading problem in Go crawler Colly explores the problem of using the Colly crawler library in Go language, developers often encounter problems with threads and request queues. �...

Backend learning path: The exploration journey from front-end to back-end As a back-end beginner who transforms from front-end development, you already have the foundation of nodejs,...

The article discusses managing Go module dependencies via go.mod, covering specification, updates, and conflict resolution. It emphasizes best practices like semantic versioning and regular updates.

This article introduces a variety of methods and tools to monitor PostgreSQL databases under the Debian system, helping you to fully grasp database performance monitoring. 1. Use PostgreSQL to build-in monitoring view PostgreSQL itself provides multiple views for monitoring database activities: pg_stat_activity: displays database activities in real time, including connections, queries, transactions and other information. pg_stat_replication: Monitors replication status, especially suitable for stream replication clusters. pg_stat_database: Provides database statistics, such as database size, transaction commit/rollback times and other key indicators. 2. Use log analysis tool pgBadg
