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Number System

The binary number system, also called base-2, is a positional numeral system that uses only two digits: 0 and 1. Each digit in a binary number represents a power of 2, starting with $2^0$ at the rightmost position and increasing to the left. For example, the binary number 1011 equals $1 \times 2^3 + 0 \times 2^2 + 1 \times 2^1 + 1 \times 2^0 = 8 + 0 + 2 + 1 = 11$ in decimal. Binary is fundamental to digital electronics and computing because all digital devices, including computers and smartphones, operate using two states—commonly represented as on and off, high and low, or true and false. This simplicity allows circuits to reliably store, process, and transmit data. Binary numbers are used in various applications, including memory storage, processor instructions, networking protocols, and coding systems. Understanding binary is crucial for computer science, programming, and electronics, as it provides insight into how machines represent and manipulate information. Additionally, binary arithmetic and logic operations form the foundation for higher-level computations, making base-2 an essential concept in technology, digital communications, and modern computing systems.

Number System

The hexadecimal number system, also known as base-16, is a positional numeral system that uses sixteen distinct symbols: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, C, D, E, and F. The letters A to F represent decimal values 10 to 15, respectively. Each position in a hexadecimal number represents a power of 16, starting from $16^0$ at the rightmost digit. For example, the hexadecimal number 2F3 equals $2 \times 16^2 + 15 \times 16^1 + 3 \times 16^0 = 512 + 240 + 3 = 755$ in decimal. Hexadecimal is widely used in computing and digital electronics because it provides a compact way to represent binary numbers, where each hex digit corresponds exactly to four binary digits. This makes conversion between binary and hexadecimal simple and efficient. Hexadecimal is commonly used in memory addressing, color coding in web design, and programming to simplify representation of large binary values. Understanding hexadecimal is essential for computer scientists, programmers, and engineers, as it bridges the gap between human-readable numbers and machine-level binary code, facilitating efficient computation, debugging, and data interpretation.