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Data Structures the Fun Way by Jeremy Kubica

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Data Structures the Fun Way

An Amusing Adventure With Coffee-filled Examples

Jeremy Kubica

No Starch Press · Print & ebook · November 8, 2022

Reading lane: Algorithms

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.

At a Glance

Who It's For

Readers building practical data-structure and programming skillsLearners developing computational thinking and problem-solving skills

Book Details

Authors
Jeremy Kubica
Publisher
No Starch Press
Published
November 8, 2022
Format
Print & ebook
Theme
Algorithms · Python Programming
Reading lane
Algorithms

Affinity

Publisher Categories

  • Computer Science

  • Algorithms

  • Data Modeling

About This Book

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...

Read full description

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.

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