Comprehensive analysis of surface data in Go language

Literal data is a fixed value representing a constant in Go. These value types include boolean, string, integer, floating point, and complex number types. Literal data can be created using literals, which are widely used in scenarios such as defining constants and providing default values. By understanding facet data, you can write more reliable Go code.

Full analysis of face data in Go language

Introduction

face Quantity data is the value that represents a constant in the Go language. They are fixed values ​​that are known at compile time and remain unchanged during program execution. Understanding faceted data is critical to writing safe and reliable Go code.

Type

Facial data types in Go include:

• Boolean type: true or false
• String type: consists of double quotes (") or backticks ('") text sequence caused by
• Integer types: Integers with default precision (int) or specified precision (int8, int16, int32, int64), or unsigned integer (uint or uint8, uint16, uint32, uint64)
• Floating point type: float32 (machine word-sized floating point value) or float64 (double precision floating point value)
• Complex type: complex64 (single precision complex number) or complex128 (Plural double)

Creating face value data

To create face value data, just use the literal that gives it a value, for example:

const myBool = true
const myString = "Hello Go!"
const myInt = 42
const myFloat = 3.14
const myComplex = complex(1, 2)

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Practical case

Face value data is useful for the following operations:

• Define constants: Face value Data provides a way to define values ​​that do not change during program execution, for example:

const maxRetries = 3

func main() {
    for i := 0; i < maxRetries; i++ {
        // 重试操作
    }
}

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• Default value: Face data can be used as a function , structures and other types of default values, such as:

func getDefaultValue() int {
    return 10
}

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Conclusion

Literal data is a powerful tool for defining immutable values ​​in the Go language. By understanding their different types, how they are created, and their practical applications, you can write safer, more reliable Go code.

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