This clearly written textbook presents an accessible introduction to discrete mathematics for computer science students, offering the reader an enjoyable and stimulating path to improve their programming competence. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Its motivational and interactive style provokes a conversation with the reader through a questioning commentary, and supplies detailed walkthroughs of several algorithms.This updated and enhanced new edition also includes new material on directed graphs, and on drawing and coloring graphs, in addition to more than 100 new exercises (with solutions to selected exercises).Topics and features: assumes no prior mathematical knowledge, and discusses concepts in programming as and when they are needed; designed for both classroom use and self-study, presenting modular and self-contained chapters that follow ACM curriculum recommendations; describes mathematical processes in an algorithmic manner, often supported by a walkthrough demonstrating how the algorithm performs the desired task; includes an extensive set of exercises throughout the text, together with numerous examples, and shaded boxes highlighting key concepts; selects examples that demonstrate a practical use for the concept in question.Students embarking on the start of their studies of computer science will find this book to be an easy-to-understand and fun-to-read primer, ideal for use in a mathematics course taken concurrently with their first programming course.

This textbook provides an engaging and motivational introduction to traditional topics in discrete mathematics, in a manner specifically designed to appeal to computer science students. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Clearly structured and interactive in nature, the book presents detailed walkthroughs of several algorithms, stimulating a conversation with the reader through informal commentary and provocative questions. Features: no university-level background in mathematics required; ideally structured for classroom-use and self-study, with modular chapters following ACM curriculum recommendations; describes mathematical processes in an algorithmic manner; contains examples and exercises throughout the text, and highlights the most important concepts in each section; selects examples that demonstrate a practical use for the concept in question.

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.

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.

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 difficultiesUndergraduate 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.

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 difficultiesUndergraduate 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.

While other textbooks devote their pages to explaining introductory programming concepts, The Python Workbook focuses exclusively on exercises, following the philosophy that computer programming is a skill best learned through experience and practice. Designed to support and encourage hands-on learning about programming, this student-friendly work contains 174 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 specific points of Python syntax. No background knowledge is required to solve the exercises, beyond the material covered in a typical introductory Python programming course. Undergraduate students undergoing 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 clearly written textbook presents an accessible introduction to discrete mathematics for computer science students, offering the reader an enjoyable and stimulating path to improve their programming competence. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Its motivational and interactive style provokes a conversation with the reader through a questioning commentary, and supplies detailed walkthroughs of several algorithms.This updated and enhanced new edition also includes new material on directed graphs, and on drawing and coloring graphs, in addition to more than 100 new exercises (with solutions to selected exercises).Topics and features: assumes no prior mathematical knowledge, and discusses concepts in programming as and when they are needed; designed for both classroom use and self-study, presenting modular and self-contained chapters that follow ACM curriculum recommendations; describes mathematical processes in an algorithmic manner, often supported by a walkthrough demonstrating how the algorithm performs the desired task; includes an extensive set of exercises throughout the text, together with numerous examples, and shaded boxes highlighting key concepts; selects examples that demonstrate a practical use for the concept in question.Students embarking on the start of their studies of computer science will find this book to be an easy-to-understand and fun-to-read primer, ideal for use in a mathematics course taken concurrently with their first programming course.

This textbook provides an engaging and motivational introduction to traditional topics in discrete mathematics, in a manner specifically designed to appeal to computer science students. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Clearly structured and interactive in nature, the book presents detailed walkthroughs of several algorithms, stimulating a conversation with the reader through informal commentary and provocative questions. Features: no university-level background in mathematics required; ideally structured for classroom-use and self-study, with modular chapters following ACM curriculum recommendations; describes mathematical processes in an algorithmic manner; contains examples and exercises throughout the text, and highlights the most important concepts in each section; selects examples that demonstrate a practical use for the concept in question.

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.

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.

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 difficultiesUndergraduate 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.

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 difficultiesUndergraduate 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.

While other textbooks devote their pages to explaining introductory programming concepts, The Python Workbook focuses exclusively on exercises, following the philosophy that computer programming is a skill best learned through experience and practice. Designed to support and encourage hands-on learning about programming, this student-friendly work contains 174 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 specific points of Python syntax. No background knowledge is required to solve the exercises, beyond the material covered in a typical introductory Python programming course. Undergraduate students undergoing 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.