The Python Workbook A Brief Introduction with Exercises and Solutions /

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 progr...

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Bibliographic Details
Main Author: Stephenson, Ben (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Edition:3rd ed. 2025.
Series:Texts in Computer Science,
Subjects:
Online Access:https://doi.org/10.1007/978-3-031-84560-4
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245 1 4 |a The Python Workbook  |h [electronic resource] :  |b A Brief Introduction with Exercises and Solutions /  |c by Ben Stephenson. 
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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. 
532 8 |a Accessibility summary: This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility. It includes screen reader support, descriptions for Non-text content (such as images and graphs), bookmarks for easy navigation, keyboard-friendly links and forms, and searchable, selectable text. We recognise the importance of accessibility and welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us via https://www.springernature.com/gp/info/accessibility Please Note that a more accessible version of this eBook is available as an EPUB. 
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532 8 |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com 
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