Imran Ahmad covers an unusually broad span of algorithmic knowledge in one volume, moving from classic computer science fundamentals to modern applications in machine learning, data systems, and cryptography. At 538 pages, 50 Algorithms Every Programmer Should Know works as both a learning resource and a long-term reference.
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In StockMost algorithm books pick a lane — classical computer science, or machine learning, or systems design — but 50 Algorithms Every Programmer Should Know deliberately spans all of them. Imran Ahmad organizes the book around fifty algorithms chosen for their practical relevance across a programmer’s career, covering foundational sorting and searching techniques alongside more specialized material in machine learning, data processing, and cryptography. The breadth is the point: rather than going maximally deep on a narrow slice of algorithmic theory, the book gives programmers a working understanding of the techniques they’re actually likely to encounter, whatever corner of software development they end up in. At 538 pages, there’s enough room to explain each algorithm with real context — when to use it, how it compares to alternatives, and what tradeoffs it involves — rather than just presenting pseudocode in isolation. For programmers who want a single, comprehensive reference that bridges classical and modern algorithmic knowledge, this fills that role efficiently. Author: Imran Ahmad
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