Data Structures the Fun Way (ePub)
An Amusing Adventure with Coffee-Filled Examples
(Sprache: Englisch)
Learn how and when to use the right data structures in any situation, strengthening your computational thinking, problem-solving, and programming skills in the process.
This accessible and entertaining book provides an in-depth introduction to...
This accessible and entertaining book provides an in-depth introduction to...
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Produktinformationen zu „Data Structures the Fun Way (ePub)“
Learn how and when to use the right data structures in any situation, strengthening your computational thinking, problem-solving, and programming skills in the process.
This accessible and entertaining book provides an in-depth introduction to computational thinking through the lens of data structures - a critical component in any programming endeavor. You'll learn how to work with more than 15 key data structures, from stacks, queues, and caches to bloom filters, skip lists, and graphs. You'll also master linked lists by virtually standing in line at a cafe, hash tables by cataloging the history of the summer Olympics, and Quadtrees by neatly organizing your kitchen cabinets, all while becoming familiar with basic computer science concepts, like recursion and running time analysis.
This accessible and entertaining book provides an in-depth introduction to computational thinking through the lens of data structures - a critical component in any programming endeavor. You'll learn how to work with more than 15 key data structures, from stacks, queues, and caches to bloom filters, skip lists, and graphs. You'll also master linked lists by virtually standing in line at a cafe, hash tables by cataloging the history of the summer Olympics, and Quadtrees by neatly organizing your kitchen cabinets, all while becoming familiar with basic computer science concepts, like recursion and running time analysis.
Autoren-Porträt von Jeremy Kubica
Jeremy Kubica is an engineer director specializing in artificial intelligence and machine learning. He received a Ph.D. in Robotics from Carnegie Mellon University and a BS in Computer Science from Cornell University. He spent his graduate school years creating algorithms to detect killer asteroids (actually stopping them was, of course, left as "future work"). He is the author of multiple books designed to introduce people to computer science, including Computational Fairy Tales and The CS Detective, as well as the Computational Fairy Tales Blog.
Bibliographische Angaben
- Autor: Jeremy Kubica
- 2022, 304 Seiten, Englisch
- Verlag: No Starch Press
- ISBN-10: 1718502613
- ISBN-13: 9781718502611
- Erscheinungsdatum: 08.11.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 2.99 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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