Grokking Data Structures
Language: English
Published by Manning Publications, US, 2024
- Hardcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
£ 46.97
Quantity: 1 available
Add to basketItem description from seller
Don't be perplexed by data structures! This fun, friendly, and fully illustrated guide makes it easy to learn useful data structures you'll put to work every day. Grokking Data Structures makes it a breeze to learn the most useful day-to-day data structures. You'll follow a steady learning path from absolute basics to advanced concepts, all illustrated with fun examples, engaging industry stories, and hundreds of graphics and cartoons. In Grokking Data Structures you'll learn how to: Understand the most important and widely used data structuresIdentify use cases where data structures make the biggest differencePick the best data structure solution for a coding challengeUnderstand the tradeoffs of data structures and avoid catastrophesImplement basic data collections like arrays, linked lists, stacks, and priority queuesUse trees and binary search trees (BSTs) to organize dataUse graphs to model relationships and learn about complex dataEfficiently search by key using hash tables and hashing functionsReason about time and memory requirements of operations on data structures Grokking Data Structures carefully guides you from the most basic data structures like arrays or linked lists all the way to powerful structures like graphs. It's perfect for beginners, and you won't need anything more than high school math to get started. Each data structure you encounter comes with its own complete Python implementation so you can start experimenting with what you learn right away. About the technology Data structures are vital for shaping and handling your data organization. They're also an important part of most IT job interviews! Whether you're new to data structures or just dusting off what you learned in school, this book will get you up to speed fast with no advanced math, abstract theory, or complicated proofs.…
Seller Inventory # LU-9781633436992
- Title
- Grokking Data Structures
- Author
- Marcello Rocca
- Publisher
- Manning Publications, US
- Publication year
- 2024
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 1633436993
- ISBN 13
- 9781633436992
- Item weight
- 525 grams
Grokking Data Structures makes it a breeze to learn the most useful day-to-day data structures. You'll follow a steady learning path from absolute basics to advanced concepts, all illustrated with fun examples, engaging industry stories, and hundreds of graphics and cartoons.
In Grokking Data Structures you'll learn how to:
- Understand the most important and widely used data structures
- Identify use cases where data structures make the biggest difference
- Pick the best data structure solution for a coding challenge
- Understand the tradeoffs of data structures and avoid catastrophes
- Implement basic data collections like arrays, linked lists, stacks, and priority queues
- Use trees and binary search trees (BSTs) to organize data
- Use graphs to model relationships and learn about complex data
- Efficiently search by key using hash tables and hashing functions
- Reason about time and memory requirements of operations on data structures
Grokking Data Structures carefully guides you from the most basic data structures like arrays or linked lists all the way to powerful structures like graphs. It’s perfect for beginners, and you won't need anything more than high school math to get started. Each data structure you encounter comes with its own complete Python implementation so you can start experimenting with what you learn right away.
"Synopsis" may belong to another edition of this title.
About the Author
Marcello La Rocca is a research scientist and a full-stack engineer. He has contributed to large-scale web applications and machine learning infrastructure at Twitter, Microsoft, and Apple.
The technical editor on this book was Beau Carnes.
"About the title" may belong to another edition of this title.
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