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Classic computer science problems in Python /

紀錄類型:	書目-語言資料,印刷品 : 單行本
正題名/作者:	Classic computer science problems in Python // David Kopec.
作者:	Kopec, David.
出版者:	Shelter Island, New York :Manning Publications Company,c2019.
面頁冊數:	xv, 206 p. :ill., maps, port. ;24 cm.
附註:	Includes index.
標題:	Python (Computer program language) -
ISBN:	9781617295980 (pbk.) :
ISBN:	1617295981 (pbk.)

Classic computer science problems in Python /
Kopec, David.

Classic computer science problems in Python /David Kopec. - Shelter Island, New York :Manning Publications Company,c2019. - xv, 206 p. :ill., maps, port. ;24 cm.

Includes index.

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.

ISBN: 9781617295980 (pbk.) :NT960

LCCN: 2018287921

Nat. Bib. No.: GBB955928bnbSubjects--Topical Terms:

163241
Python (Computer program language)

LC Class. No.: QA76.73.P98 / K65 2019

Dewey Class. No.: 005.262

Classic computer science problems in Python /
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300 $a xv, 206 p. : $b ill., maps, port. ; $c 24 cm.
500 $a Includes index.
500 $a "Covers Python 3.7"--Cover.
505 0 # $a 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.
520 # $a 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.
650 # 0 $a Python (Computer program language) $3 163241
650 # 0 $a Computer programming. $3 148134