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عنوان
Classic computer science problems in Python /

پدید آورنده
David Kopec.

موضوع
Computer programming.,Python (Computer program language),Computer programming.,Programmeren (computers),Python (Computer program language),Python (programmeertaal)

رده
QA76
.
73
.
P98
K65
2019

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
1617295981
(Number (ISBN
9781617295980

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Classic computer science problems in Python /
General Material Designation
[Book]
First Statement of Responsibility
David Kopec.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Shelter Island, NY :
Name of Publisher, Distributor, etc.
Manning Publications Co.,
Date of Publication, Distribution, etc.
2019
Date of Publication, Distribution, etc.
©2019.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
xv, 206 pages :
Other Physical Details
illustrations ;
Dimensions
24 cm.

GENERAL NOTES

Text of Note
"Covers Python 3.7" - cover.
Text of Note
Includes index.

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

CONTENTS NOTE

Text of Note
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.
0

SUMMARY OR ABSTRACT

Text of Note
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.

TOPICAL NAME USED AS SUBJECT

Computer programming.
Python (Computer program language)
Computer programming.
Programmeren (computers)
Python (Computer program language)
Python (programmeertaal)

DEWEY DECIMAL CLASSIFICATION

Number
005
.
262
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA76
.
73
.
P98
Book number
K65
2019

PERSONAL NAME - PRIMARY RESPONSIBILITY

Kopec, David

ORIGINATING SOURCE

Date of Transaction
20200823050608.0

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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