Descarca "JavaScript Data Structures and Algorithms" in format PDF de Sammie Bae

The inspiration to write this book came from noticing a gap in the market for resources on data structures and algorithms specifically tailored to JavaScript. Given the growing demand for JavaScript proficiency across various sectors of software development—where it stands as the sole language encompassing front-end, mobile (both native and hybrid), and back-end development—it's essential for developers to have a solid grasp of data structures and algorithm design within the JavaScript context. This book is aimed at imparting these crucial computer science concepts through the lens of JavaScript, diverging from the traditional focus on languages like Java or C++. JavaScript's unique prototypal inheritance model, which differs from the classical inheritance model seen in Java and C++, necessitates a different approach to constructing data structures. Where classical inheritance relies on creating a class-based blueprint for objects, prototypal inheritance involves copying objects and modifying their attributes. The content begins with essential mathematics for understanding Big-O notation, followed by an introduction to JavaScript's basics, including its primitive objects and types. Subsequent chapters delve into the implementation and algorithms of key data structures like linked lists, stacks, trees, heaps, and graphs. The book concludes with an in-depth discussion of more complex topics, such as efficient string searching algorithms, caching mechanisms, and solving dynamic programming challenges, all tailored for JavaScript developers.