Data Structures the Fun Way
Autor: Jeremy Kubica
Nakladatel: Random House
Vazba: Brožovaná
EAN: 9781718502604
Typ produktu: Knihy
Pořadí vydání: 1.
Objednací číslo: 0716499
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...
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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.
Autor:
Nakladatel:
Typ produktu:
Knihy
Vazba:
Brožovaná
Pořadí vydání:
1.
Jazyk:
anglicky
Výška:
22 mm
Šířka:
177 mm
Hloubka:
227 mm
Hmotnost:
509 g
Ean:
9781718502604
ISBN:
978-1-7185-0260-4























