The phrase, “Not everything that can be counted counts, and not everything that counts can be counted” by Albert Einstein and the recommendation, “We should have a humble reverence for everything that we shall never measure” by Vaclav Havel reveals the fact that numbers never tell the whole story, in information or in any other context and also it never prevents from seeking for numbers, magic or otherwise, which capture the structures and patterns of the information world. Numbers have their own significance and it can be observed that they play a vital role in different aspects of the world viz. numerology, thus it takes the title of “magic”. The concept of magic numbers has its roots in various branches of science, including physics, chemistry, and mathematics. The notion of magic numbers showcases the interdisciplinary nature of the concept, connecting various scientific disciplines through a common thread of special, often symmetric or highly stable numerical values. This research paper investigates the concept of magic numbers in computing, specifically focusing on their applications across various domains within the field. In computing, magic numbers refer to specific numerical values embedded in data structures that play a crucial role in file formats, network protocols, and various software applications. The paper defines magic numbers, examines the historical evolution of magic numbers in computing, investigates their theoretical underpinnings, and explores how they are practically applied in tasks such as file identification, network protocol and software development.