Algorithmic thinking

• Verfasst von: Zingaro, Daniel [VerfasserIn]
• Titel: Algorithmic thinking
• Titelzusatz: learning algorithms to level up your coding skills
• Verf.angabe: by Daniel Zingaro
• Ausgabe: Second edition.
• Verlagsort: San Francisco, CA
• Verlag: No Starch Press
• E-Jahr: 2024
• Jahr: [2024]
• Umfang: 1 online resource (480 pages)
• Illustrationen: illustrations
• Fussnoten: Includes bibliographical references and index
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1871286700
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4418434097
• Lokale URL Inst.: Zum Volltext

Abstract

Are you hitting a wall with data structures and algorithms? Whether you’re a student prepping for coding interviews or an independent learner, this book is your essential guide to efficient problem-solving in programming. Learn the intricacies of hash tables, recursion, dynamic programming, trees, graphs, and heaps. Become proficient in choosing and implementing the best solutions for any coding challenge. The programs and challenges in this book aren’t just theoretical—they’re drawn from real programming competitions. Train with problems that have tested and honed the skills of coders around the world. Prepare yourself for coding interviews with practice exercises that help you think algorithmically, weigh different solutions, and implement the best choices efficiently. The code examples are written in C and designed for clarity and accessibility to those familiar with languages like C++, Java, or Python. If you need help with the C code, no problem: We’ve got recommended reading, too. Algorithmic Thinking is the complete package, providing the solid foundation you need to elevate your coding skills to the next level.