Classic computer science problems von kopec david (26 Ergebnisse)

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Good. Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You?ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview.   Classic Computer Science Problems in Java will teach you techniques to solve common-but-tricky programming issues. You?ll explore foundational coding methods, fundamental algorithms, and artificial intelligence topics, all through code-centric Java tutorials and computer science exercises. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems!   Key Features ·   Recursion, memorization, bit manipulation ·   Search algorithms ·   Constraint-satisfaction problems ·   Graph algorithms ·   K-means clustering   For intermediate Java programmers.   About the technology In any computer science classroom you?ll find a set of tried-and-true algorithms, techniques, and coding exercises. These techniques have stood the test of time as some of the best ways to solve problems when writing code, and expanding your Java skill set with these classic computer science methods will make you a better Java programmer.   David Kopec is an assistant professor of computer science and innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Python (Manning, 2019).…

Zustand: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly. …

Paperback. Zustand: Very Good. Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means. Classic Computer Science Problems in Python deepens your Python language skills by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems Key Features Breadth-first and depth-first search algorithms Constraints satisfaction problems Common techniques for graphs Adversarial Search Neural networks and genetic algorithms Written for data engineers and scientists with experience using Python. For readers comfortable with the basics of Python About the technology Python is used everywhere for web applications, data munging, and powerful machine learning applications. Even problems that seem new or unique stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills, and youll be ready to use Python for AI, data-centric programming, deep learning, and the other challenges youll face as you grow your skill as a programmer. David Kopec teaches at Champlain College in Burlington, VT and is the author of Mannings Classic Computer Science Problemsin Swift. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.…

Zustand: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: New. pp. 224.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Paperback. Zustand: Brand New. 275 pages. 9.25x7.50x0.75 inches. In Stock.

Paperback. Zustand: Brand New. 275 pages. 7.50x7.25x0.50 inches. In Stock.

Zustand: New. In English.

Paperback. Zustand: Brand New. 275 pages. 7.50x7.25x0.50 inches. In Stock.

Zustand: New. 2019. Paperback. . . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Neuware - SummaryClassic Computer Science Problems in Swift invites readers to invest their energy in some foundational techniques that have been proven to stand the test of time. Along the way they'll learn intermediate and advanced features of the Swift programming language, a worthwhile skill in its own right.About the TechnologyDon't just learn another language. Become a better programmer instead. Today's awesome iOS apps stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills in Swift, and you'll be ready for AI, data-centric programming, machine learning, and the other development challenges that will define the next decade.About the BookClassic Computer Science Problems in Swift deepens your Swift language skills by exploring foundational coding techniques and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your 'new' problems. You'll appreciate author David Kopec's amazing ability to connect the core disciplines of computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!What's Inside- Breadth-first, depth-first, and A\* search algorithms- Constraint-satisfaction problems- Solving problems with graph algorithms- Neural networks, genetic algorithms, and more- All examples written in Swift 4.1About the ReaderFor readers comfortable with the basics of Swift.About the AuthorDavid Kopec is an assistant professor of computer science and innovation at Champlain College in Burlington, Vermont. He is an experienced iOS developer and the author of Dart for Absolute Beginners.Table of Contents- Small problems - Search problems - Constraint-satisfaction problems - Graph problems - Genetic algorithms - K-means clustering - Fairly simple neural networks - Miscellaneous problems.…

Paperback. Zustand: Brand New. 275 pages. 9.25x7.50x0.75 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware - 'Highly recommended to everyone interested in deepening their understanding of Python and practical computer science.' | Key Features > Master formal techniques taught in college computer science classes > Connect computer science theory to real-world applications, data, and performance > Prepare for programmer interviews > Recognize the core ideas behind most 'new' challenges > Covers Python 3.7 Note: Purchase of the print book includes a free Elektronisches Buch in PDF, Kindle, and ePub formats from Manning Publications.About The Book Programming problems that seem new or unique are usually rooted in well-known engineering principles. Classic Computer Science Problems in Python guides you through time-tested scenarios, exercises, and algorithms that will prepare you for the 'new' problems you'll face when you start your next project. In this amazing book, you'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. As you work through examples for web development, machine learning, and more, you'll remember important things you've forgotten and discover classic solutions that will save you hours of time. What You Will Learn - Search algorithms - Common techniques for graphs - Neural networks - Genetic algorithms - Adversarial search - Uses type hints throughout This Book Is Written For For intermediate Python programmers. About The Author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Java (Manning, 2020) Table of Contents 1. Small problems 2. Search problems 3. Constraint-satisfaction problems 4. Graph problems 5. Genetic algorithms 6. K-means clustering 7. Fairly simple neural networks 8. Adversarial search 9. Miscellaneous problems.…

Zustand: New. &Uumlber den AutorDavid Kopec is an assistant professor of computer science and innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems.

Paperback. Zustand: Brand New. 244 pages. 9.25x7.50x0.50 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware - Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms.SummarySharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You'll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your 'new' problems!About the technologyWhatever software development problem you're facing, odds are someone has already uncovered a solution. This book collects the most useful solutions devised, guiding you through a variety of challenges and tried-and-true problem-solving techniques. The principles and algorithms presented here are guaranteed to save you countless hours in project after project.About the bookClassic Computer Science Problems in Java is a master class in computer programming designed around 55 exercises that have been used in computer science classrooms for years. You'll work through hands-on examples as you explore core algorithms, constraint problems, AI applications, and much more.What's insideRecursion, memoization, and bit manipulationSearch, graph, and genetic algorithmsConstraint-satisfaction problemsK-means clustering, neural networks, and adversarial searchAbout the readerFor intermediate Java programmers.About the authorDavid Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont.Table of Contents1 Small problems2 Search problems3 Constraint-satisfaction problems4 Graph problems5 Genetic algorithms6 K-means clustering7 Fairly simple neural networks8 Adversarial search9 Miscellaneous problems10 Interview with Brian Goetz. …

Zustand: New. Highly recommended to everyone interested in deepening their understanding of Python and practical computer science. | Key Features > Master formal techniques taught in college computer science classes > Connect computer science t.

Taschenbuch. Zustand: Neu. Classic Computer Science Problems in Swift | Essential Techniques for Practicing Programmers | David Kopec | Taschenbuch | Englisch | 2018 | Manning Publications | EAN 9781617294891 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Classic Computer Science Problems in Python | David Kopec | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Manning Publications | EAN 9781617295980 | Verantwortliche Person für die EU: Manning, St.-Martin-Str. 82, 81541 München, salesde[at]pearson[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Neuware -SummaryClassic Computer Science Problems in Swift invites readers to invest their energy in some foundational techniques that have been proven to stand the test of time. Along the way they'll learn intermediate and advanced features of the Swift programming language, a worthwhile skill in its own right.About the TechnologyDon't just learn another language. Become a better programmer instead. Today's awesome iOS apps stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills in Swift, and you'll be ready for AI, data-centric programming, machine learning, and the other development challenges that will define the next decade.About the BookClassic Computer Science Problems in Swift deepens your Swift language skills by exploring foundational coding techniques and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your 'new' problems. You'll appreciate author David Kopec's amazing ability to connect the core disciplines of computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!What's Inside- Breadth-first, depth-first, and A\* search algorithms- Constraint-satisfaction problems- Solving problems with graph algorithms- Neural networks, genetic algorithms, and more- All examples written in Swift 4.1About the ReaderFor readers comfortable with the basics of Swift.About the AuthorDavid Kopec is an assistant professor of computer science and innovation at Champlain College in Burlington, Vermont. He is an experienced iOS developer and the author of Dart for Absolute Beginners.Table of Contents- Small problems - Search problems - Constraint-satisfaction problems - Graph problems - Genetic algorithms - K-means clustering - Fairly simple neural networks - Miscellaneous problems 224 pp. Englisch.…