Enter the wonderful world of graph algorithms, where you’ll learn when and how to apply these highly useful data structures to solve a wide range of fascinating (and fantastical) computational problems.
Graph Algorithms the Fun Way offers a refreshing approach to complex concepts by blending humor, imaginative examples, and practical Python implementations to reveal the power and versatility of graph based problem-solving in the real world. Through clear diagrams, engaging examples, and Python code, you’ll build a solid foundation for addressing graph problems in your own projects.
Explore a rich landscape of cleverly constructed scenarios where:
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Jeremy Kubica is an engineering director working at the intersection of computer science and astrophysics. He holds a PhD in robotics from Carnegie Mellon University and a BS in computer science from Cornell University. He is the author of The CS Detective, Data Structures the Fun Way (both from No Starch Press), and Computational Fairy Tales.
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Taschenbuch. Zustand: Neu. Neuware - Enter the wonderful world of graph algorithms, where you'll learn when and how to apply these highly useful data structures to solve a wide range of fascinating (and fantastical) computational problems.Graph Algorithms the Fun Way offers a refreshing approach to complex concepts by blending humor, imaginative examples, and practical Python implementations to reveal the power and versatility of graph based problem-solving in the real world. Through clear diagrams, engaging examples, and Python code, you'll build a solid foundation for addressing graph problems in your own projects.Explore a rich landscape of cleverly constructed scenarios where: Artikel-Nr. 9781718503861
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Taschenbuch. Zustand: Neu. Graph Algorithms the Fun Way | Powerful Algorithms Decoded, Not Oversimplified | Jeremy Kubica | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | Random House LLC US | EAN 9781718503861 | Verantwortliche Person für die EU: Petersen Buchimport GmbH, Vertrieb, Weidestr. 122a, 22083 Hamburg, gpsr[at]petersen-buchimport[dot]com | Anbieter: preigu. Artikel-Nr. 128921292
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