國立虎尾科技大學 |

Introduction to Computational Thinking = Problem Solving, Algorithms, Data Structures, and More /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Introduction to Computational Thinking/ by Thomas Mailund.
Reminder of title:	Problem Solving, Algorithms, Data Structures, and More /
Author:	Mailund, Thomas.
Description:	XIII, 657 p. 78 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computer science. -
Online resource:	https://doi.org/10.1007/978-1-4842-7077-6
ISBN:	9781484270776

Introduction to Computational Thinking = Problem Solving, Algorithms, Data Structures, and More /
Mailund, Thomas.

Introduction to Computational ThinkingProblem Solving, Algorithms, Data Structures, and More /[electronic resource] :by Thomas Mailund. - 1st ed. 2021. - XIII, 657 p. 78 illus.online resource.

1: Introduction -- 2: Introducing Python Programming -- 3: Introduction to Algorithms -- 4: Algorithmic Efficiency -- 5: Searching and Sorting -- 6: Functions -- 7: Inner Functions -- 8: Recursion -- 9: Divide and Conquer and Dynamic Programming -- 10: Hidden Markov Models -- 11: Data Structures, Objects and Classes -- 12: Class Hierarchies and Inheritance -- 13: Sequences -- 14: Sets -- 15: Red-black Search Trees -- 16: Stacks and Queues -- 17: Priority Queues -- 18: Conclusions.

Learn approaches of computational thinking and the art of designing algorithms. Most of the algorithms you will see in this book are used in almost all software that runs on your computer. Learning how to program can be very rewarding. It is a special feeling to seeing a computer translate your thoughts into actions and see it solve your problems for you. To get to that point, however, you must learn to think about computations in a new way—you must learn computational thinking. This book begins by discussing models of the world and how to formalize problems. This leads onto a definition of computational thinking and putting computational thinking in a broader context. The practical coding in the book is carried out in Python; you’ll get an introduction to Python programming, including how to set up your development environment. You will: Think in a computational way Acquire general techniques for problem solving See general and concrete algorithmic techniques Program solutions that are both computationally efficient and maintainable.

ISBN: 9781484270776

Standard No.: 10.1007/978-1-4842-7077-6doiSubjects--Topical Terms:

573171
Computer science.

LC Class. No.: QA75.5-76.95

Dewey Class. No.: 004

Introduction to Computational Thinking = Problem Solving, Algorithms, Data Structures, and More /
LDR:02917nam a22003975i 4500 001 1047034
003 DE-He213
005 20210825191703.0
007 cr nn 008mamaa
008 220103s2021 xxu| s |||| 0|eng d
020 $a 9781484270776 $9 978-1-4842-7077-6
024 7 $a 10.1007/978-1-4842-7077-6 $2 doi
035 $a 978-1-4842-7077-6
050 4 $a QA75.5-76.95
072 7 $a UY $2 bicssc
072 7 $a COM014000 $2 bisacsh
072 7 $a UY $2 thema
082 0 4 $a 004 $2 23
100 1 $a Mailund, Thomas. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1140758
245 1 0 $a Introduction to Computational Thinking $h [electronic resource] : $b Problem Solving, Algorithms, Data Structures, and More / $c by Thomas Mailund.
250 $a 1st ed. 2021.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2021.
300 $a XIII, 657 p. 78 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a 1: Introduction -- 2: Introducing Python Programming -- 3: Introduction to Algorithms -- 4: Algorithmic Efficiency -- 5: Searching and Sorting -- 6: Functions -- 7: Inner Functions -- 8: Recursion -- 9: Divide and Conquer and Dynamic Programming -- 10: Hidden Markov Models -- 11: Data Structures, Objects and Classes -- 12: Class Hierarchies and Inheritance -- 13: Sequences -- 14: Sets -- 15: Red-black Search Trees -- 16: Stacks and Queues -- 17: Priority Queues -- 18: Conclusions.
520 $a Learn approaches of computational thinking and the art of designing algorithms. Most of the algorithms you will see in this book are used in almost all software that runs on your computer. Learning how to program can be very rewarding. It is a special feeling to seeing a computer translate your thoughts into actions and see it solve your problems for you. To get to that point, however, you must learn to think about computations in a new way—you must learn computational thinking. This book begins by discussing models of the world and how to formalize problems. This leads onto a definition of computational thinking and putting computational thinking in a broader context. The practical coding in the book is carried out in Python; you’ll get an introduction to Python programming, including how to set up your development environment. You will: Think in a computational way Acquire general techniques for problem solving See general and concrete algorithmic techniques Program solutions that are both computationally efficient and maintainable.
650 0 $a Computer science. $3 573171
650 0 $a Algorithms. $3 527865
650 0 $a Python (Computer program language). $3 1127623
650 0 $a Computer programming. $3 527822
650 1 4 $a Computer Science, general. $3 669807
650 2 4 $a Python. $3 1115944
650 2 4 $a Programming Techniques. $3 669781
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484270769
776 0 8 $i Printed edition: $z 9781484270783
776 0 8 $i Printed edition: $z 9781484275405
856 4 0 $u https://doi.org/10.1007/978-1-4842-7077-6
912 $a ZDB-2-CWD
912 $a ZDB-2-SXPC
950 $a Professional and Applied Computing (SpringerNature-12059)
950 $a Professional and Applied Computing (R0) (SpringerNature-43716)