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" Classic computer science problems in Python / "
David Kopec.
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BL
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| Record Number
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854632
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| Main Entry
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Kopec, David
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| Title & Author
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Classic computer science problems in Python /\ David Kopec.
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| Publication Statement
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Shelter Island, NY :: Manning Publications Co.,, 2019
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, ©2019.
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| Page. NO
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xv, 206 pages :: illustrations ;; 24 cm.
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| ISBN
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1617295981
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: 9781617295980
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| Notes
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"Covers Python 3.7" - cover.
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Includes index.
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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Introduction. Why Python? -- What is a classic computer science problem? -- What kinds of problems are in this book? -- Who is this book for? -- Python versioning, source code repository, and type hints -- No graphics, no UI code, just the standard library -- Small problems -- Search problems -- Constraint-satisfaction problems -- Graph problems -- Genetic algorithms -- K-means clustering -- Fairly simple neural networks -- Adversarial search -- Miscellaneous problems.
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| Abstract
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Classic Computer Science Problems in Python deepens your knowledge of problem-solving techniques from the realm of computer science 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. Classic approaches are still the best way to solve them! Understanding these techniques in Python expands your potential for success in web development, data munging, machine learning, and more.
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| Subject
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Computer programming.
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Python (Computer program language)
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Computer programming.
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Programmeren (computers)
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Python (Computer program language)
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Python (programmeertaal)
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| Dewey Classification
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005.262
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| LC Classification
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QA76.73.P98K65 2019
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