Data Structures in JavaScript - Master the Fundamentals

• Verfasst von: Solutions, Eduonix [VerfasserIn]
• Titel: Data Structures in JavaScript - Master the Fundamentals
• Institutionen: Safari, an O’Reilly Media Company. [MitwirkendeR]
• Verf.angabe: Solutions, Eduonix
• Ausgabe: 1st edition
• Verlagsort: [Erscheinungsort nicht ermittelbar]
• Verlag: Packt Publishing
• Jahr: 2020
• Umfang: 1 online resource (1 video file, approximately 14 hr., 4 min.)
• Fussnoten: Online resource; Title from title screen (viewed October 30, 2020)
• ISBN: 978-1-80056-657-6
• ComputerInfo: Mode of access: World Wide Web.
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Electronic videos ; local
• Sach-SW: Electronic videos
• K10plus-PPN: 1739149769
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m3807000143
• Lokale URL Inst.: Zum Volltext

Abstract

Understand the complex world of data structures and algorithms with ease by solving interesting problems About This Video Get to grips with the fundamentals of data structures and algorithms Learn how to solve common computer programs using algorithms Solve challenges such as Minesweeper, Sieve of Eratosthenes, and Morse code In Detail Data structures allow you to organize code in the most efficient way to help you perform operations effectively. An algorithm is a step-by-step procedure for solving problems, be it solving a computer problem, writing source code, or innovating new programs. With this course, you’ll learn the concepts of data structures and algorithms using JavaScript. Starting with an introduction to data structures and algorithms, the course takes you through the concept of arrays, where you’ll solve a minesweeper challenge to understand the importance of an array in data structures. Next, you’ll become familiar with lists and discover how Big O helps in describing the complexity of an algorithm. As you advance, you’ll gain insights into stacks, queues, recursion, and trees by solving challenges such as condense, Josephus, palindrome, and Morse code. Toward the end, you’ll get an overview of hash maps and graphs. By the end of this course, you’ll have developed a solid understanding of data structures and algorithms essential for building reliable software.