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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
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Produktbeschreibung
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 disciplinespresents the solutions to approximately half of the exercisesprovides annotations alongside the solutions, explaining the approach taken to solve the problem and relevant aspects of Python syntaxcontains exercises that encourage the development of programming skills using if statements, loops, functions, lists, dictionaries, files, and recursionexamines common errors and how to correct themoffers 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.
Autorenporträt
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 has authored the successful Springer textbook Fundamentals of Discrete Math for Computer Science.  
Rezensionen
"The book is suitable for a gentle introductory college level course, or even a solid high school intro to programming course. ... A book like this one might in fact be ideal for someone aiming to learn programming or Python on his own. It can also be a very good supplementary material for an online course ... . The book is a great resource for acquiring the basic coding fluency ... ." (Bojan Tunguz, tunguzreview.com, February, 2015)

"The book provides you with 174 exercises, which can make you an advanced beginner ... in Python. The excersises are well-structured indeed, taking into account anything from the basics of the language (printing, units, conditionals, loops and functions) to some more advanced structures as dictionaries, lists and working with files. ... The excersises are well selected indeed. I liked them and I enjoyed solving (or looking at their solutions) them." (Vitosh Academy, vitoshacademy.com, February, 2015)