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Algorithm Design with Python: From Fundamental Concepts to Real-World Problem Solving and Implementation
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- Build algorithms that work in the real worldStop guessing and start designing with confidence. This practical guide turns complex theory into clear, Python-powered solutions you can deploy today. Whether you’re preparing for coding interviews, leveling up at work, or mastering a CS curriculum, you’ll learn how to think algorithmically—and implement clean, efficient code that scales.What you’ll master?Core principles: Big-O analysis, correctness, and trade-offsEssential data structures: arrays, stacks, queues, hash maps, trees, graphsAlgorithmic paradigms: greedy, divide-and-conquer, dynamic programming, backtrackingGraph techniques: BFS/DFS, shortest paths, topological sortingPythonic implementation: type hints, testing, benchmarking, and readabilityDesigned for resultsLearn by doing: step-by-step examples and annotated Python codeThink strategically: design patterns for turning problems into solutionsApply immediately: real-world cases in scheduling, routing, text, and dataYou’ll gain clarity on when to use each approach, the confidence to tackle unfamiliar problems, and the skills to write robust, maintainable solutions under time pressure.Who this book is for?CS students, self-taught developers, data practitioners, and professionals preparing for technical interviews who want a clear, practical path from fundamentals to production-ready code.Ready to transform the way you solve problems? Build a toolkit you’ll rely on for years. Buy now to master algorithm design with Python—and ship smarter, faster solutions.
| Item Weight | 1.5 lbs (680 grams) |
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Algorithm Design with Python: From Fundamental Concepts to Real-World Problem Solving and Implementation
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