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The Python workbook = a brief introd...

Stephenson, Ben.

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The Python workbook = a brief introduction with exercises and solutions /

Record Type:	Electronic resources : Monograph/item
Title/Author:	The Python workbook/ by Ben Stephenson.
Reminder of title:	a brief introduction with exercises and solutions /
Author:	Stephenson, Ben.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xi, 283 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	1. Introduction to Programming -- 2. Decision Making -- 3. Repetition -- 4. Functions -- 5. Lists -- 6. Dictionaries -- 7. Files and Exceptions -- 8. Recursion.
Contained By:	Springer Nature eBook
Subject:	Python (Computer program language) -
Online resource:	https://doi.org/10.1007/978-3-031-84560-4
ISBN:	9783031845604

The Python workbook = a brief introduction with exercises and solutions /
Stephenson, Ben.

The Python workbooka brief introduction with exercises and solutions /[electronic resource] :by Ben Stephenson. - Third edition. - Cham :Springer Nature Switzerland :2025. - xi, 283 p. :ill. (some col.), digital ;24 cm. - Texts in computer science,1868-095X. - Texts in computer science..

1. Introduction to Programming -- 2. Decision Making -- 3. Repetition -- 4. Functions -- 5. Lists -- 6. Dictionaries -- 7. Files and Exceptions -- 8. Recursion.

The Python Workbook is a student-friendly compendium of 212 exercises that span a variety of academic disciplines and everyday situations paired with concise introductions to the programming concepts needed to complete them. Accessible and easy to follow, the textbook encourages development of programming skills through active practice and hands-on learning. Thoroughly updated and expanded, this strong revised edition includes new sections on debugging, additional exercises in all chapters, and extensive revisions that reflect current practice, increase clarity, and ease comprehension. The exercises and solutions require no prior background knowledge, beyond the material covered in a typical introductory Python course. Topics and features: includes a mixture of classic exercises from the fields of computer science and mathematics, along with exercises that connect to other academic disciplines presents the solutions to approximately half of the exercises provides annotations alongside the solutions, explaining the approach taken to solve the problem and relevant aspects of Python syntax contains exercises that encourage the development of programming skills using if statements, loops, functions, lists, dictionaries, files, and recursion examines common errors and how to correct them offers a variety of exercises of different lengths and difficulties Undergraduate students enrolled in their first programming course will find this book ideal for their needs. Their programming and debugging skills will be enhanced by reading its chapters, completing its exercises, and studying the provided solutions. Dr. Ben Stephenson is a Teaching Professor in the Department of Computer Science at the University of Calgary, Canada. Recipient of the 2023 CS-CAN / INFO-CAN Excellence in Teaching Award, he also completed a two-year term as SIGCSE Technical Symposium Co-Chair. He also authored the successful Springer textbook Fundamentals of Discrete Math for Computer Science.

ISBN: 9783031845604

Standard No.: 10.1007/978-3-031-84560-4doiSubjects--Topical Terms:

729789
Python (Computer program language)

LC Class. No.: QA76.73.P98 / S74 2025

Dewey Class. No.: 005.133

The Python workbook = a brief introduction with exercises and solutions /
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490 1 $a Texts in computer science, $x 1868-095X
505 0 $a 1. Introduction to Programming -- 2. Decision Making -- 3. Repetition -- 4. Functions -- 5. Lists -- 6. Dictionaries -- 7. Files and Exceptions -- 8. Recursion.
520 $a The Python Workbook is a student-friendly compendium of 212 exercises that span a variety of academic disciplines and everyday situations paired with concise introductions to the programming concepts needed to complete them. Accessible and easy to follow, the textbook encourages development of programming skills through active practice and hands-on learning. Thoroughly updated and expanded, this strong revised edition includes new sections on debugging, additional exercises in all chapters, and extensive revisions that reflect current practice, increase clarity, and ease comprehension. The exercises and solutions require no prior background knowledge, beyond the material covered in a typical introductory Python course. Topics and features: includes a mixture of classic exercises from the fields of computer science and mathematics, along with exercises that connect to other academic disciplines presents the solutions to approximately half of the exercises provides annotations alongside the solutions, explaining the approach taken to solve the problem and relevant aspects of Python syntax contains exercises that encourage the development of programming skills using if statements, loops, functions, lists, dictionaries, files, and recursion examines common errors and how to correct them offers a variety of exercises of different lengths and difficulties Undergraduate students enrolled in their first programming course will find this book ideal for their needs. Their programming and debugging skills will be enhanced by reading its chapters, completing its exercises, and studying the provided solutions. Dr. Ben Stephenson is a Teaching Professor in the Department of Computer Science at the University of Calgary, Canada. Recipient of the 2023 CS-CAN / INFO-CAN Excellence in Teaching Award, he also completed a two-year term as SIGCSE Technical Symposium Co-Chair. He also authored the successful Springer textbook Fundamentals of Discrete Math for Computer Science.
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