Grokking Data Structures
Seiten
2024
Manning Publications (Verlag)
978-1-63343-699-2 (ISBN)
Manning Publications (Verlag)
978-1-63343-699-2 (ISBN)
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 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. 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.
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. 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.
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.
Erscheinungsdatum | 23.07.2024 |
---|---|
Verlagsort | New York |
Sprache | englisch |
Maße | 185 x 230 mm |
Gewicht | 525 g |
Themenwelt | Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge |
Mathematik / Informatik ► Informatik ► Theorie / Studium | |
ISBN-10 | 1-63343-699-3 / 1633436993 |
ISBN-13 | 978-1-63343-699-2 / 9781633436992 |
Zustand | Neuware |
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