Sinopsis
Get in the game and learn essential computer algorithms by solving competitive programming problems, in the fully revised second edition of the bestselling original. (Still no math required!)
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.
UNLOCK THE POWER OF DATA STRUCTURES & ALGORITHMS:
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.
REAL-WORLD, COMPETITION-PROVEN CODE EXAMPLES:
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.
GET INTERVIEW-READY:
Prepare yourself for coding interviews with practice exercises that help you think algorithmically, weigh different solutions, and implement the best choices efficiently.
WRITTEN IN C, USEFUL ACROSS LANGUAGES:
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Algorithmic Thinking, 2nd Edition: Learn Algorithms to Level Up Your Coding Skills
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No Starch Press, 2024
ISBN 10: 1718503229
ISBN 13: 9781718503229
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Algorithmic Thinking, 2nd Edition (Paperback)
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No Starch Press,US, San Francisco, 2024
ISBN 10: 1718503229
ISBN 13: 9781718503229
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Paperback. Condición: new. Paperback. Get in the game and learn essential computer algorithms by solving competitive programming problems, in the fully revised second edition of the bestselling original. (Still no math required!)Get in the game and learn essential computer algorithms by solving competitive programming problems, in the fully revised second edition of the bestselling original. (Still no math required!)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.UNLOCK THE POWER OF DATA STRUCTURES & ALGORITHMS-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.REAL-WORLD, COMPETITION-PROVEN CODE EXAMPLES-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.GET INTERVIEW-READY-Prepare yourself for coding interviews with practice exercises that help you think algorithmically, weigh different solutions, and implement the best choices efficiently.WRITTEN IN C, USEFUL ACROSS LANGUAGES-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. "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"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781718503229
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Algorithmic Thinking : Learning Algorithms to Level Up Your Coding Skills
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ISBN 10: 1718503229
ISBN 13: 9781718503229
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Algorithmic Thinking, 2nd Edition
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Algorithmic Thinking, 2nd Edition: Learn Algorithms to Level Up Your Coding Skills
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Algorithmic Thinking, 2nd Edition
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No Starch Press,US, US, 2024
ISBN 10: 1718503229
ISBN 13: 9781718503229
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Paperback. Condición: New. Computer Programming. Knowing how to design algorithms will take you from being a good programmer to a great programmer. This completely revised second edition teaches you how to design your own rocket-fast, right-for-the-task algorithms-minus the proofs and complex math. Forget the useless pseudocode and played-out examples you've seen in other books. Author and award-winning educator Dan Zingaro draws problems straight from online programming competitions to rigorously teach you all of the heavyweights you need to know, like hash tables, recursion, trees, graphs, and heaps. As he guides you to the perfect algorithmic solution for each unique programming puzzle, you'll build up a toolkit of go-to algorithms for quickly and correctly solving any problem you come across. The second edition features several entirely new chapters on dynamic programming and randomized algorithms, as well as more effective problems and enhanced explanations. Code examples are provided using the C language. Learn how to: Classify problems, choose data structures, and identify appropriate algorithms; Choose between data structures like hash tables, heaps, or trees, based on how they affect runtime and speed; Adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems; Apply the breadth-first search algorithm to find the optimal way to play a board game, Dijkstra's algorithm to determine the fastest routes between two locations, and many more. Nº de ref. del artículo: LU-9781718503229
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