Classic computer science problems in Python / David Kopec.

By:

Kopec, David

Material type: Text

TextPublisher: Shelter Island, New York : Manning Publications Company, 2019Description: xv, 206 pContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9781617295980
1617295981

Subject(s):

LOC classification:

QA76.73.P98 K65 2019

Contents:

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.

Summary: 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.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Status	Date due	Barcode
General Collection	Kabarak, Main Campus	QA76.73.P98 K65 2019 c.1 (Browse shelf(Opens below))	Available		34352

Includes index.

"Covers Python 3.7" - cover.

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.

There are no comments on this title.

to post a comment.