Kirjahaku

JavaScript applications are becoming ever more complex. With Node.js, JavaScript is no longer limited to client-side development, while even on the front-end, applications increasingly need to scale and be performant. This book covers algorithms and advanced data structures that you can add to your toolbox in order to solve tricky development problems and to make applications that really fly. We will introduce several useful data structures, including Graphs, Spatial Queries, and Adaptive Sorting. The emphasis here is not on abstract computer science theory; each of the data structures described has a number of practical applications to solve real-world problems. Data structures covered include: Bloom filters Trie, Patricia Trees Spatial Queries: Kd-tree, R-Tree, SS-Tree Graphs: Connected Components, Minimum Distance, Maximum Flow Adaptive Sorting And more

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.