Number Base Converter

Convert between different number bases including binary, octal, decimal, and hexadecimal.

ready

$ convert --from [unit] --to [unit] --value [number]

--from From

--to To

formulas.ts

// Common Number Base Converter Formulas

1constBinary: base 2 (0-1)

2constOctal: base 8 (0-7)

3constDecimal: base 10 (0-9)

4constHexadecimal: base 16 (0-9, A-F)

references.json

// Common Number Base Converter References

{

"Binary Example":"1010 = 10₁₀",

"Octal Example":"12 = 10₁₀",

"Decimal Example":"10",

"Hexadecimal Example":"A = 10₁₀",

"Color Code":"#FF0000",

"ASCII Code":"65 = A"

}

README.md

## What is Number Base Conversion?

Number base conversion transforms numbers between different numeral systems. While we use decimal (base-10) daily, computers use binary (base-2), and programmers often work with hexadecimal (base-16). Understanding these conversions is essential for programming, computer science, and digital electronics.

units.ts

// Number Bases Explained

export const Binary (Base-2)

// Uses only 0 and 1. The foundation of all digital computing. Each digit represents a power of 2.

export const Octal (Base-8)

// Uses digits 0-7. Historically used in computing, still seen in Unix file permissions (e.g., chmod 755).

export const Decimal (Base-10)

// Our everyday number system using digits 0-9. Based on powers of 10.

export const Hexadecimal (Base-16)

// Uses 0-9 and A-F. Common in programming for memory addresses and color codes (e.g., #FF0000 for red).

When to Use This Converter

Our number base converter is essential for programmers debugging code, web developers working with color codes, computer science students learning number systems, and electronics engineers reading memory addresses.

FAQ.md

## Frequently Asked Questions

01 ### Q: Why do computers use binary?

/**

Digital circuits have two states: on (1) and off (0). Binary naturally represents these states, making it ideal for electronic computing.

02 ### Q: Why is hexadecimal popular in programming?

/**

Hex is compact (one hex digit = 4 binary bits) and easier to read than long binary strings. 0xFF is clearer than 11111111.