Classic computer science problems in Python /

Kopec, David,

Classic computer science problems in Python / David Kopec. - xv, 206 p :

Includes index. "Covers Python 3.7" - cover.

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.

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.

9781617295980 1617295981

2018287921

GBB955928 bnb

019326840 Uk


Python (Computer program language)
Computer programming.
Computer programming.
Python (Computer program language)

QA76.73.P98 / K65 2019
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