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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.
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.
Presents numerous exercises, many of which with complete solutions
Supports the solutions with additional notes that explain the technique used and highlight specific points of Python syntax
Includes a mixture of classic computer science exercises and exercises that make connections to other disciplines
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.
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | Programmiersprachen |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Reihe: | Texts in Computer Science |
Inhalt: |
x
219 S. 125 s/w Illustr. 359 farbige Illustr. 219 p. 484 illus. 359 illus. in color. |
ISBN-13: | 9783030188726 |
ISBN-10: | 3030188728 |
Sprache: | Englisch |
Ausstattung / Beilage: | HC runder Rücken kaschiert |
Einband: | Gebunden |
Autor: | Stephenson, Ben |
Auflage: | 2nd ed. 2019 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG Texts in Computer Science |
Maße: | 241 x 160 x 18 mm |
Von/Mit: | Ben Stephenson |
Erscheinungsdatum: | 18.07.2019 |
Gewicht: | 0,56 kg |
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.
Presents numerous exercises, many of which with complete solutions
Supports the solutions with additional notes that explain the technique used and highlight specific points of Python syntax
Includes a mixture of classic computer science exercises and exercises that make connections to other disciplines
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.
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | Programmiersprachen |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Reihe: | Texts in Computer Science |
Inhalt: |
x
219 S. 125 s/w Illustr. 359 farbige Illustr. 219 p. 484 illus. 359 illus. in color. |
ISBN-13: | 9783030188726 |
ISBN-10: | 3030188728 |
Sprache: | Englisch |
Ausstattung / Beilage: | HC runder Rücken kaschiert |
Einband: | Gebunden |
Autor: | Stephenson, Ben |
Auflage: | 2nd ed. 2019 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG Texts in Computer Science |
Maße: | 241 x 160 x 18 mm |
Von/Mit: | Ben Stephenson |
Erscheinungsdatum: | 18.07.2019 |
Gewicht: | 0,56 kg |