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Master Computer Science with 400 Core Terms—The Ultimate Reference for Students & Professionals!

Struggling to recall Amdahl's Law during an interview? Debating Synchronous vs. Asynchronous systems with your team? The Lexicon of Computer Science Terminology delivers instant clarity with 400 rigorously defined terms, meticulously curated from the Lexicon of Tech and Business series. No filler—just the precise explanations you need to excel.

Why This Book?

Academic Excellence: Ace exams and assignments with definitions for Turing Completeness, NP-Hard Problems, and Quantum Computing. Career Acceleration: Impress interviewers with fluency in Cryptanalysis, MapReduce, and Dynamic Programming. Daily Utility: Resolve workplace debates about Big Endian vs. Little Endian or Monte Carlo Methods in seconds. Interdisciplinary Coverage: Bridges CS theory (Automata Theory), applied tech (IoT), and cutting-edge fields (Federated Learning).

Key Features:

Zero Fluff: Straight-to-the-point explanations save you from sifting through textbooks. From Basics to Advanced: Covers Boolean Algebra, LSTM Networks, Elliptic Curve Cryptography, and Voronoi Diagrams. Designed for Speed: Alphabetical organization and clean layout for lightning-fast lookups.

Perfect For:

University Students tackling algorithms, compilers, or computational theory. Software Engineers refining system design or optimization skills. Data Scientists mastering ML terminology (Backpropagation, K-Means Clustering). Interview Candidates prepping for FAANG/quant fund technical rounds.

Bonus: Includes niche essentials like Zobrist Hashing, Byzantine Fault Tolerance, and Spectral Clustering—often overlooked in mainstream guides.

Stop Guessing—Start Knowing. Equip yourself with the lexicon trusted by educators and industry leaders.