Isbn: 9781617295980 - classic computer science problems in python: easy to advanced programming challenges to sharpen your coding skills and improve your algorithmic thinking (23 risultati)

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Paperback. Condizione: new. Paperback. 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. "For intermediate Python programmers"--Back cover. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: 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.…

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Kartoniert / Broschiert. Condizione: 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.

Paperback. Condizione: 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. Condizione: new. Paperback. 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. "For intermediate Python programmers"--Back cover. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Taschenbuch. Condizione: 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.…