classic computer science problems von kopec david (65 Ergebnisse)

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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.

Paperback. Zustand: New. Apple's Swift language is the de-facto standard for iOS and Mac development, and it's rapidly becoming a great choice for any general purpose programming task.   Classic 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.   Key features .    Hands-on guide .    Step-by-step examples .    Foundational techniques   Written for developers comfortable with the basics of Swift and interested in learning proven problem-solving techniques, deepening their knowledge of computer science, or preparing for coding interviews, while expanding their Swift skillset.   Swift is an exciting new programming language from Apple that toes the line between the object-oriented and functional paradigms.

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.

Zustand: New. pp. 224.

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Paperback. Zustand: New. Apple's Swift language is the de-facto standard for iOS and Mac development, and it's rapidly becoming a great choice for any general purpose programming task.   Classic 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.   Key features .    Hands-on guide .    Step-by-step examples .    Foundational techniques   Written for developers comfortable with the basics of Swift and interested in learning proven problem-solving techniques, deepening their knowledge of computer science, or preparing for coding interviews, while expanding their Swift skillset.   Swift is an exciting new programming language from Apple that toes the line between the object-oriented and functional paradigms.

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

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.

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Paperback. Zustand: New. 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).

Paperback. Zustand: New. 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).

Paperback. Zustand: New. 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 you'll be ready to use Python for AI, data-centric programming, deep learning, and the other challenges you'll face as you grow your skill as a programmer.   David Kopec teaches at Champlain College in Burlington, VT and is the author of Manning's Classic Computer Science Problemsin Swift.

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

Paperback. Zustand: New. 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 you'll be ready to use Python for AI, data-centric programming, deep learning, and the other challenges you'll face as you grow your skill as a programmer.   David Kopec teaches at Champlain College in Burlington, VT and is the author of Manning's Classic Computer Science Problemsin Swift.

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

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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.