Daniel Zingaro

Algorithmic Thinking

Learn Algorithms to Level Up Your Coding Skills

• Broschiertes Buch

Produktbeschreibung

"An introduction to solving problems with algorithms and data structures, using competitive programming examples. Topics covered include recursion, dynamic programming, graphs, greedy algorithms, heaps, hash tables, segment trees, and other data structures for efficiently handling data"-Provided by publisher"--

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Produktdetails

• Verlag: No Starch Press, US
• 2nd Edition
• Seitenzahl: 480
• Erscheinungstermin: 23. Januar 2024
• Englisch
• Abmessung: 236mm x 178mm x 29mm
• Gewicht: 894g
• ISBN-13: 9781718503229
• ISBN-10: 1718503229
• Artikelnr.: 67746321

Autorenporträt

Dr. Daniel Zingaro is an award-winning associate professor of mathematical and computational sciences at the University of Toronto Mississauga. He is well known for his uniquely interactive approach to teaching and internationally recognized for his expertise in active learning. He is also the author of Learn to Code by Solving Problems (No Starch Press) and co-author of Learn AI-Assisted Python Programming.

Inhaltsangabe

Foreword
Introduction
Acknowledgments
Chapter 1: Hash Tables
Chapter 2: Trees and Recursion
Chapter 3: Memoization and Dynamic Programming
Chapter 4: Advanced Memoization and Dynamic Programming
Chapter 5: Graphs and Breadth-First Search
Chapter 6: Shortest Paths in Weighted Graphs
Chapter 7: Binary Search
Chapter 8: Heaps and Segment Trees
Chapter 9: Union-Find
Chapter 10: Randomization
Afterword
Appendix A: Algorithm Runtime
Appendix B: Because I Can’t Resist
Appendix C: Problem Credits
Index