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The Python workbooka brief introduct...
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SpringerLink (Online service)
The Python workbooka brief introduction with exercises and solutions /
Record Type:
Electronic resources : Monograph/item
Title/Author:
The Python workbookby Ben Stephenson.
Reminder of title:
a brief introduction with exercises and solutions /
Author:
Stephenson, Ben.
Published:
Cham :Springer International Publishing :2019.
Description:
x, 219 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Python (Computer program language)
Online resource:
https://doi.org/10.1007/978-3-030-18873-3
ISBN:
9783030188733$q(electronic bk.)
The Python workbooka brief introduction with exercises and solutions /
Stephenson, Ben.
The Python workbook
a brief introduction with exercises and solutions /[electronic resource] :by Ben Stephenson. - 2nd ed. - Cham :Springer International Publishing :2019. - x, 219 p. :ill., digital ;24 cm. - Texts in computer science,1868-0941. - Texts in computer science..
Part I: Exercises -- Introduction to Programming -- Decision Making -- Repetition -- Functions -- Lists -- Dictionaries -- Files and Exceptions -- Recursion -- Part II: Solutions -- Solutions to the Introduction to Programming Exercises -- Solutions to the Decision Making Exercises -- Solutions to the Repetition Exercises -- Solutions to the Function Exercises -- Solutions to the List Exercises -- Solutions to the Dictionary Exercises -- Solutions to the File and Exception Exercises -- Solutions to the Recursion Exercises.
This student-friendly textbook encourages the development of programming skills through active practice by focusing on exercises that support hands-on learning. The Python Workbook provides a compendium of 186 exercises, spanning a variety of academic disciplines and everyday situations. Solutions to selected exercises are also provided, supported by brief annotations that explain the technique used to solve the problem, or highlight a specific point of Python syntax. This enhanced new edition has been thoroughly updated and expanded with additional exercises, along with concise introductions that outline the core concepts needed to solve them. The exercises and solutions require no prior background knowledge, beyond the material covered in a typical introductory Python programming course. Features: Uses an accessible writing style and easy-to-follow structure 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, which explain the approach taken to solve the problem and relevant aspects of Python syntax Offers a variety of exercises of different lengths and difficulties Contains exercises that encourage the development of programming skills using if statements, loops, basic functions, lists, dictionaries, files, and recursive functions Undergraduate students enrolled in their first programming course and wishing to enhance their programming abilities will find the exercises and solutions provided in this book to be ideal for their needs. Dr. Ben Stephenson is a Teaching Professor in the Department of Computer Science at the University of Calgary, AB, Canada. His other publications include the Springer textbook Fundamentals of Discrete Math for Computer Science: A Problem-Solving Primer.
ISBN: 9783030188733$q(electronic bk.)
Standard No.: 10.1007/978-3-030-18873-3doiSubjects--Topical Terms:
215247
Python (Computer program language)
LC Class. No.: QA76.73.P98 / S74 2019
Dewey Class. No.: 005.133
The Python workbooka brief introduction with exercises and solutions /
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Part I: Exercises -- Introduction to Programming -- Decision Making -- Repetition -- Functions -- Lists -- Dictionaries -- Files and Exceptions -- Recursion -- Part II: Solutions -- Solutions to the Introduction to Programming Exercises -- Solutions to the Decision Making Exercises -- Solutions to the Repetition Exercises -- Solutions to the Function Exercises -- Solutions to the List Exercises -- Solutions to the Dictionary Exercises -- Solutions to the File and Exception Exercises -- Solutions to the Recursion Exercises.
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This student-friendly textbook encourages the development of programming skills through active practice by focusing on exercises that support hands-on learning. The Python Workbook provides a compendium of 186 exercises, spanning a variety of academic disciplines and everyday situations. Solutions to selected exercises are also provided, supported by brief annotations that explain the technique used to solve the problem, or highlight a specific point of Python syntax. This enhanced new edition has been thoroughly updated and expanded with additional exercises, along with concise introductions that outline the core concepts needed to solve them. The exercises and solutions require no prior background knowledge, beyond the material covered in a typical introductory Python programming course. Features: Uses an accessible writing style and easy-to-follow structure 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, which explain the approach taken to solve the problem and relevant aspects of Python syntax Offers a variety of exercises of different lengths and difficulties Contains exercises that encourage the development of programming skills using if statements, loops, basic functions, lists, dictionaries, files, and recursive functions Undergraduate students enrolled in their first programming course and wishing to enhance their programming abilities will find the exercises and solutions provided in this book to be ideal for their needs. Dr. Ben Stephenson is a Teaching Professor in the Department of Computer Science at the University of Calgary, AB, Canada. His other publications include the Springer textbook Fundamentals of Discrete Math for Computer Science: A Problem-Solving Primer.
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