The Python Workbook

A Brief Introduction with Exercises and Solutions

Ben Stephenson (Autor)

Buch | Softcover

X, 219 Seiten

2020 | 2nd ed. 2019
Springer International Publishing (Verlag)
978-3-030-18875-7 (ISBN)

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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 .

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.

Erscheinungsdatum	01.08.2020
Reihe/Serie	Texts in Computer Science
Zusatzinfo	X, 219 p. 484 illus., 359 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	400 g
Themenwelt	Informatik ► Programmiersprachen / -werkzeuge ► Python
	Informatik ► Theorie / Studium ► Compilerbau
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	introductory computer science • Multidisciplinary Studies • programming • Python • Software engineering
ISBN-10	3-030-18875-2 / 3030188752
ISBN-13	978-3-030-18875-7 / 9783030188757
Zustand	Neuware