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Java, Java, Java: Object-Oriented Problem Solving

(4 reviews)

Ralph Morelli, Trinity College

Ralph Walde, Trinity College

Copyright Year: 2016

Publisher: Ralph Morelli, Ralph Walde

Language: English

Formats Available

Conditions of use.

Learn more about reviews.

Reviewed by Onyeka Emebo, Assistant Professor, Virginia Tech on 12/28/21

The text adequately addresses areas under Object Oriented Programming using Java as a Programming Language for Introduction to Computer Science courses. It gently introduces basic concepts in computer, objects and java using problem solving... read more

Comprehensiveness rating: 5 see less

The text adequately addresses areas under Object Oriented Programming using Java as a Programming Language for Introduction to Computer Science courses. It gently introduces basic concepts in computer, objects and java using problem solving approaches and gradually builds up to more advanced Java technologies in such a simplified manner that can be easily understood. The text also provides a table of content at the beginning and a summary of points for each chapter with exercises.

Content Accuracy rating: 4

The text content is accurate, without errors and unbiased. There is however some links that needs to be updated.

Relevance/Longevity rating: 4

While the field of computer science with particular emphasis to programming as it relates to this text is constantly evolving, the approach taken by this text to teach the essentials is likely to persist. The code, tested in Java 8, should continue to work with new Java releases. Updates to the text can be done easily by the way it has been written.

Clarity rating: 5

The text is written in a clear and easy to understand manner. The objectives, explanations, examples and exercises are clear and easy to follow. The codes are well commented to aid readability.

Consistency rating: 4

The text is highly consistent in both structure and terminology. It starts each chapter with objectives and outline and concludes with summary, exercises and solutions. However, some codes within the chapters are put in figures while others are not, this could be confusing.

Modularity rating: 5

The text is divided in 17 chapters (0 - 16) and 8 appendices (A – H). Each chapter is further divided into sections and subsections. This breakdown makes it easier for instructors to apportion sections to students at different times within the course.

Organization/Structure/Flow rating: 5

The text is organized in a manner that is logical and it flows well from section to section. The structure makes navigation from chapter to chapter easier.

Interface rating: 3

I reviewed the PDF version and it looks good to a large extent. The links in the table of contents are working properly. There are clickable links within the text to different figures, sections, such as appendices, and external websites. However, there are some issues with some figure titles, e.g., figure 12, 1.10, 2.7, 2.10, 2.14, etc. are cut off. Some hyperlinks for some figures missing e.g., figure 2.8 and some figures don’t have titles.

Grammatical Errors rating: 5

The text contains no grammatical errors.

Cultural Relevance rating: 5

The text is culturally neutral. The examples are unbiased in the way it has been presented.

Reviewed by Ghaith Husari, Assistant Professor, East Tennessee State University on 4/17/20

This book covers Object-Oriented Programming under JAVA. It introduces the concepts of object-oriented programming and they are used for problem-solving. This book covers all the relevant areas of Object-Oriented Programming under Java. Also, it... read more

This book covers Object-Oriented Programming under JAVA. It introduces the concepts of object-oriented programming and they are used for problem-solving. This book covers all the relevant areas of Object-Oriented Programming under Java. Also, it covers more advanced topics such as socket programming and algorithms.

Content Accuracy rating: 5

The Object-Oriented concepts and implementation example shown in code samples are accurate and easy to learn as the code samples are aligned with the concept being discussed. Some links and URLs are out-dated but they have little to no impact on student learning. However, I would add a note that says "some of the links and URLs might not up-to-date. However, they can be found using search engines if necessary"

Programming languages get updated regularly to include new and easier functions to use. While it is impossible for a textbook to include every function, this textbook provides a great learning opportunity that allows students to build the muscle to be able to learn more about Java online. When it comes to Object-Oriented concepts, the book is extremely relevant and up-to-date

The textbook is very easy to understand and the code sample is both clear (code readability) and relevant.

Consistency rating: 5

The text and the terms it contains are consistent. Also, the textbook follows a consistent theme.

The textbook chapters are divided into sections and subsections that are shown also in the table of contents which can be used to visit each section.

The textbook consists of seventeen chapters that are organized in a logical manner. The more general concepts such as problem-solving and programing are placed at the beginning, then the chapters introduce the discuss Object-Oriented Programming come after the general chapters. The more advanced topics such as socket programming and data structures and algorithms come towards the end. This made a lot of sense to me.

Interface rating: 5

The textbook is easily accessible online and it can be downloaded to open with Edge or Adobe Reader without any problems.

No grammar issues have been noticed.

This textbook is neutral and unbiased.

Reviewed by Guanyu Tian, Assistant Professor, Fontbonne University on 6/19/18

This textbook covers Object-Oriented Programming with Java programming language pretty well. It starts with the concept of Objects and problem solving skills and then dive into Java programming language syntax. Overall, it appropriately covers all... read more

Comprehensiveness rating: 4 see less

This textbook covers Object-Oriented Programming with Java programming language pretty well. It starts with the concept of Objects and problem solving skills and then dive into Java programming language syntax. Overall, it appropriately covers all areas of the subject including the main principles of Object-Oriented Programming and Java programming language. In the later chapters, this textbook also introduces advanced topics such as concurrent programming, network/socket programming and data structures. The textbook provides table of contents at the beginning and index of terms at the end. Each chapter also provides a list of key words and a list of important concepts and technique terms.

Content Accuracy rating: 3

The content of the textbook is mostly accurate. Many URLs linked to Java documentations and APIs are not up-to-date.

Many URLs to Java references are not up-to-date and many online samples are not accessible. Nonetheless, the concepts of Object-Oriented Programming and Java programming language syntax are mostly current. Any updates to the contents of the textbook can be implemented with minimal effort.

The text is easy to understand. However, some of the texts are not displayed on adobe reader.

Consistency rating: 3

The text is consistent in terms of framework. Each chapter starts with introduction to a problem, and then discussion and design of the solution with UML diagrams; then Java is used to implement the solution(s). However, there is some level of inconsistency in terms of Java code samples. For example, some Java code examples use appropriate indentations and new lines, but some examples do not. This may confuse students.

Each chapter is divided into different sections and subsections. A student can go to each section of a chapter by clicking it in the Table of Contents.

Organization/Structure/Flow rating: 3

The topics in this text book are organized in a reasonable order. It starts with general concepts of computer and program design, then Objects and Java Programming Language, and then advanced topics in computer programming. It would be better if the textbook starts with Java programming language and then principles of Object Oriented programming.

Some of the texts are not displayed in the reviewer's adobe reader. Many diagrams and figures are poorly drawn. Overall, the interface of the book is one area that needs improvement.

No major grammar issues has been noticed.

The text of this textbook is a neutral and unbiased.

Overall, this textbook covers materials of Object-Oriented Programming with Java taught in first or second-year computer science course. However, the contents of Java programming language has not been up-to-date and the interface of the book is very poor compare to similar books the reviewer has used for learning and teaching the same materials. Some sample codes are not well written or inconsistent in terms of the use of indentation and new lines. Many URLs are obsolete and the web pages are not accessible.

Reviewed by Homer Sharafi, Adjunct Faculty Member, Northern Virginia Community College on 6/20/17

The textbook includes the material that is typically covered in a college-level CS1 course. Using an “early objects” approach and Java as the programming language, the authors go over problem-solving techniques based on object-oriented... read more

The textbook includes the material that is typically covered in a college-level CS1 course. Using an “early objects” approach and Java as the programming language, the authors go over problem-solving techniques based on object-oriented programming principles. In addition to an Index of terms towards the end of the text, each chapter summary includes the technical terms used, along with a bulleted-list of important points discussed in that chapter.

The computer science concepts and the accompanying sample code are accurate and error-free; however, the only issue is the fact that the URLs that make references to various aspects of Java, such as API documentation, JDK, and the Java Language Specification, have not been updated to reflect the fact that Sun Microsystems was acquired by Oracle back in 2010.

Like other software systems, Java is updated on a regular basis; nonetheless, the computer science concepts discussed in the textbook are based on standard undergraduate curriculum taught in a CS1 course. Therefore, any updates to the textbook would need to be with regard to the version of Java with minimal effort.

Clarity rating: 4

The authors deliver clear explanations of the computer science concepts and the accompanying Java language features.

There is a consistent theme throughout much of the text: A topic is introduced and discussed within the context of a problem. Its solution is then designed and explained using UML diagrams; finally, Java is used to illustrate how the solution is implemented on the computer.

Each chapter is divided into sections that can easily be identified within the table of contents. Therefore, it’s fairly easy for a student to pick and choose a section in a chapter and work on the other sections later. Throughout each chapter, there are self-study exercises to incrementally test understanding of the covered material. Solutions to those self-study exercises are then provided towards the end of the chapter. In addition, each chapter includes end-of-chapter exercises that can be used to assess one’s understanding of the computer science concepts as well as the various features of Java.

The book consists of seventeen chapters; however, a typical CS1 course would need the material in the first ten chapters only, and those chapters are set up in a logical manner, allowing one to go through the material sequentially. Depending on how fast he first ten chapters are covered during the course of a semester, an instructor may choose from the last seven chapters in the text to introduce more advanced topics in computer science and/or Java.

Interface rating: 1

The textbook can be accessed online or opened using Acrobat Reader with no problem. There are no issues, as long as navigation is done one page after another manually. However, when browsing through the table of contents (TOC) or the Index, the entries are not set up using any live links. That is, you cannot click on a page number associated with an item within the TOC or the Index to go directly to that page.

Grammatical Errors rating: 3

This reviewer did not come across any such issues, while going through the text.

This is a computing textbook, where the contents are presented using technical terms. Culturally, the textbook is completely neutral and unbiased in terms of how the material is presented.

Table of Contents

• 0 Computers, Objects, and Java
• 1 Java Program Design and Development
• 2 Objects: Defining, Creating, and Using
• 3 Methods: Communicating with Objects
• 4 Input/Output: Designing the User Interface
• 5 Java Data and Operators
• 6 Control Structures
• 7 Strings and String Processing
• 8 Inheritance and Polymorphism
• 9 Arrays and Array Processing
• 10 Exceptions: When Things Go Wrong
• 11 Files and Streams
• 12 Recursive Problem Solving
• 13 Graphical User Interfaces
• 14 Threads and Concurrent Programming
• 15 Sockets and Networking
• 16 Data Structures: Lists, Stacks, and Queues

Ancillary Material

• Ralph Morelli, Ralph Walde

About the Book

We have designed this third edition of Java, Java, Java to be suitable for a typical Introduction to Computer Science (CS1) course or for a slightly more advanced Java as a Second Language course. This edition retains the “objects first” approach to programming and problem solving that was characteristic of the first two editions. Throughout the text we emphasize careful coverage of Java language features, introductory programming concepts, and object-oriented design principles.

The third edition retains many of the features of the first two editions, including:

• Early Introduction of Objects
• Emphasis on Object Oriented Design (OOD)
• Unified Modeling Language (UML) Diagrams
• Self-study Exercises with Answers
• Programming, Debugging, and Design Tips.
• From the Java Library Sections
• Object-Oriented Design Sections
• End-of-Chapter Exercises
• Companion Web Site, with Power Points and other Resources

The In the Laboratory sections from the first two editions have been moved onto the book's Companion Web Site. Table 1 shows the Table of Contents for the third edition.

About the Contributors

Ralph Morelli, Professor of Computer Science Emeritus. Morelli has been teaching at Trinity College since 1985, the same year the computer science major was first offered. More recently, he was one of the Principal Investigators (PIs) for the Humanitarian Free and Open Source Software (HFOSS) project, an NSF-funded effort to get undergraduates engaged in building free and open source software that benefits the public.  In summer 2011 a team of Trinity HFOSS students and faculty traveled to Haiti to build an open source mobile application that helps manage beneficiaries for a humanitarian aid organization. Currently Morelli is the PI of the Mobile CSP project, an NSF-funded effort to train high school teachers in CT and elsewhere to teach the emerging Advanced Placement CS Principles course that is being created by the College Board. The main goal of this NSF initiative is to increase access to computer science among underrepresented groups, including girls, African Americans, and Hispanic Americans.  The Mobile CSP course teaches students to create mobile apps to serve their community.  In summer 2014, a group of 20 Mobile CSP students spent their summer building mobile apps for the city of Hartford. 

Ralph Walde.  Dr. Walde has given Trinity 28 years of distinguished service, first as a Professor of Mathematics and now as a Professor of Computer Science. He was instrumental in helping to establish and nourish computing at Trinity and was one of the founding members of the Computer Science Department.

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Book description

The best-selling Programming and Problem Solving with C++, now in it's Sixth Edition, remains the clearest introduction to C++, object-oriented programming, and software development available. Renowned author team Nell Dale and Chip Weems are careful to include all topics and guidelines put forth by the ACM/IEEE to make this text ideal for the one- or two-term CS1 course. Their philosophy centers on making the difficult concepts of computer science programming accessible to all students, while maintaining the breadth of detail and topics covered.

Key Features: -The coverage of advanced object-oriented design and data structures has been moved to later in the text. -Provides the highly successful concise and student-friendly writing style that is a trademark for the Dale/Weems textbook series in computer science. -Introduces C++ language constructs in parallel with the appropriate theory so students see and understand its practical application. -Strong pedagogical elements, a hallmark feature of Dale/Weems' successful hands-on teaching approach, include Software Maintenance case studies, Problem-Solving case studies, Testing & Debugging exercises, Exam Preparation exercises, Programming Warm-up exercises, Programming Problems, Demonstration Projects, and Quick Check exercises. -A complete package of student and instructor resources include a student companion website containing all the source code for the programs and exercises in the text, additional appendices with C++ reference material and further discussion of topics from the text, and a complete digital lab manual in C++. Instructors are provided all the solutions to the exercises in the text, the source code, a Test Bank, and PowerPoint Lecture Outlines organized by chapter.

Table of contents

• What Is Programming?
• How Do We Write a Program?
• What Is an Algorithm?
• What Is a Programming Language?
• What Kinds of Instructions Can Be Written in a Programming Language?
• What Is Software Maintenance?
• Software Maintenance Case Study: An Introduction to Software Maintenance
• 1.3 What’s Inside the Computer?
• Software Piracy
• Privacy of Data
• Use of Computer Resources
• Software Engineering
• Ask Questions
• Look for Things That Are Familiar
• Solve by Analogy
• Means-Ends Analysis
• Divide and Conquer
• The Building-Block Approach
• Merging Solutions
• Mental Blocks: The Fear of Starting
• Algorithmic Problem Solving
• Problem-Solving Case Study: Leap Year Algorithm
• Quick Check Answers
• Exam Preparation Exercises
• Programming Warm-Up Exercises
• Case Study Follow-Up
• Line Number
• C++ Program Structure
• Syntax and Semantics
• Syntax Templates
• Naming Program Elements: Identifiers
• Data and Data Types
• Naming Elements: Declarations
• Taking Action: Executable Statements
• Beyond Minimalism: Adding Comments to a Program
• Blocks (Compound Statements)
• The C++ Preprocessor
• Software Maintenance Case Study: Adding Titles to Names
• Creating Blank Lines
• Inserting Blanks Within a Line
• Special Characters
• Entering a Program
• Compiling and Running a Program
• Problem-Solving Case Study: Printing a Chessboard
• Testing and Debugging
• Programming Problems
• 3.1 Overview of C++ Data Types
• Integral Types
• Floating-Point Types
• Named Constant Declarations
• Variable Declarations
• Arithmetic Operators
• Increment and Decrement Operators
• Precedence Rules
• Type Coercion and Type Casting
• Software Maintenance Case Study: Precedence Error
• Value-Returning Functions
• Library Functions
• Void Functions
• Integers and Strings
• Floating-Point Numbers
• The length and size Functions
• The find Function
• The substr Function
• Accessing Characters Within a String: The at Function
• Converting to Lowercase and Uppercase
• Problem-Solving Case Study: Mortgage Payment Calculator
• Input Streams and the Extraction Operator (>>)
• The Reading Marker and the Newline Character
• Reading Character Data with the get Function
• Skipping Characters with the ignore Function
• Reading String Data
• 4.2 Interactive Input/Output
• 4.3 Noninteractive Input/Output
• Using Files
• Run-Time Input of File Names
• 4.5 Input Failure
• 4.6 Software Design Methodologies
• Implementing the Design
• A Perspective on Design
• Problem-Solving Case Study: Displaying a Name in Multiple Formats
• The bool Data Type
• Logical Expressions
• The If-Then-Else Form
• The If-Then Form
• A Common Mistake
• Software Maintenance Case Study: Incorrect Output
• The Dangling else
• Precedence of Operators
• Relational Operators with Floating-Point Types
• 5.6 Testing the State of an I/O Stream
• Problem-Solving Case Study: BMI Calculator
• Testing in the Problem-Solving Phase: The Algorithm Walk-Through
• Testing in the Implementation Phase
• The Test Plan
• Tests Performed Automatically During Compilation and Execution
• 6.1 The While Statement
• 6.2 Phases of Loop Execution
• Count-Controlled Loops
• Event-Controlled Loops
• Looping Subtasks
• Software Maintenance Case Study: Make a Program General
• Designing the Flow of Control
• Designing the Process Within the Loop
• The Loop Exit
• Designing Nested Loops
• Problem-Solving Case Study: Recording Studio Design
• Loop-Testing Strategy
• Test Plans Involving Loops
• 7.1 The Switch Statement
• 7.2 The Do-While Statement
• 7.3 The For Statement
• Software Maintenance Case Study: Changing a Loop Implementation
• 7.4 The Break and Continue Statements
• 7.5 Guidelines for Choosing a Looping Statement
• Assignment Operators and Assignment Expressions
• Bitwise Operators
• The Cast Operation
• The sizeof Operator
• The ?: Operator
• Operator Precedence
• Type Coercion in Arithmetic and Relational Expressions
• Problem-Solving Case Study: The Rich Uncle
• When to Use Functions
• Why Do Modules Need an Interface Design?
• Designing Interfaces
• Writing Modules as Void Functions
• Flow of Control in Function Calls
• Function Parameters
• Function Call (Invocation)
• Function Declarations and Definitions
• Local Variables
• The Return Statement
• Value Parameters
• Reference Parameters
• Using Expressions with Parameters
• A Last Word of Caution About Argument and Parameter Lists
• Writing Assertions as Function Documentation
• Problem-Solving Case Study: Lawn Care Company Billing
• The assert Library Function
• Scope Rules
• Variable Declarations and Definitions
• Initializations in Declarations
• Software Maintenance Case Study: Debug a Simple Program
• Side Effects
• Global Constants
• Complete Example
• Boolean Functions
• Interface Design and Side Effects
• When to Use Value-Returning Functions
• 9.5 Type Coercion in Assignments, Argument Passing, and Return of a Function Value
• Problem-Solving Case Study: Health Profile
• Stubs and Drivers
• Numeric Types
• The Typedef Statement
• Enumeration Types
• Named and Anonymous Data Types
• 10.3 Simple Versus Structured Data Types
• Accessing Individual Components
• Aggregate Operations on Structs
• More About Struct Declarations
• Binding Like Items
• 10.5 Hierarchical Records
• 10.6 Unions
• Pointer Variables
• Pointers Expressions
• 10.8 Reference Types
• Problem-Solving Case Study: Stylistical Analysis of Text
• Coping with Input Errors
• Debugging with Pointers
• Declaring Arrays
• Out-of-Bounds Array Indexes
• Initializing Arrays in Declarations
• (Lack of) Aggregate Array Operations
• Examples of Declaring and Accessing Arrays
• Passing Arrays as Arguments
• Commenting Arrays
• Using Typedef with Arrays
• Pointer Expressions and Arrays
• C-Style Strings
• Strings as Arrays
• C String Operations
• Converting C Strings to C++ Strings
• Which String Representation to Use
• Arrays of Records
• Subarray Processing
• Indexes with Semantic Content
• 11.4 Two-Dimensional Arrays
• 11.5 Passing Two-Dimensional Arrays as Arguments
• Sum the Rows
• Sum the Columns Revised
• Sum the Columns
• Initialize the Array
• Print the Array
• 11.7 Another Way of Defining Two-Dimensional Arrays
• 11.8 Multidimensional Arrays
• Problem-Solving Case Study: Calculating Exam Statistics
• Problem-Solving Case Study: Favorite Rock Group
• One-Dimensional Arrays
• Complex Structures
• Multidimensional Arrays
• 12.1 Abstract Data Types
• Implementing the Member Functions
• Classes, Objects, and Members
• Built-in Operations on Objects
• Class Scope
• User-Written Header Files
• Specification and Implementation Files
• Compiling and Linking a Multifile Program
• 12.4 What Is an Object?
• Encapsulation
• Abstraction
• Designing for Modifiability and Reuse
• Software Maintenance Case Study: Comparing Two TimeOfDay Objects
• Specification of the ADT
• Implementation File
• Design of an Entry Class
• Diagramming a Class
• Diagramming Composition of Classes
• Problem-Solving Case Study: Create an Array of Name Objects
• 13.1 What Is a List?
• Refining Responsibilities
• Data Representation
• Example Program
• Basic Operations
• Insertion and Deletion
• Sequential Search
• Software Maintenance Case Study: Enhancing Class List with a Sort
• Binary Search
• Insert and Delete
• 13.6 More on UML Diagrams
• Problem-Solving Case Study: Calculating Exam Statistics Revisited
• Allocating Dynamic Data
• Deleting Dynamic Data
• Constants and Dynamic Data
• 14.2 Sequential Versus Linked Structures
• 14.3 Creating a Dynamic Linked List: A Walk-Through Example
• Creating an Empty Linked List
• Inserting into a Linked List
• Traversals of a Linked List
• Deleting from a Linked List
• Resetting the List
• Getting the Next Item
• Testing for the Full Linked List
• Searching the List
• Shallow Versus Deep Copying
• Copy-Constructor
• Insert(60) (pick up with loop)
• Insert(100)
• Problem-Solving Case Study: Creating a Sorted List of Entry Objects
• 15.1 Object-Oriented Programming
• Inheritance and the Object-Oriented Design Process
• Deriving One Class from Another Class
• Specification of the ExpandedEntry Class
• Implementation of the ExpandedEntry Class
• Constructor Execution Order
• Software Maintenance Case Study: Extending TimeOfDay with Support for a Time Zone
• The Slicing Problem
• Virtual Functions
• Brainstorming
• Scenario Exploration
• Responsibility Algorithms
• A Final Word
• 15.5 Implementing a Design
• Problem-Solving Case Study: Creating an Appointment Calendar
• Defining a Class Template
• Instantiating a Class Template
• Another Way of Implementing Incoming Parameters: const References
• Organization of Program Code
• A Word of Caution
• Function Overloading
• Defining a Function Template Outside a Class
• Instantiating a Function Template
• Using *this
• The throw Statement
• The try-catch Statement
• Nonlocal Exception Handlers
• Rethrowing an Exception
• Standard Exceptions
• Software Maintenance Case Study: Adding Exceptions to the Date Class
• Problem-Solving Case Study: Starship Weight and Balance
• 17.1 Abstract Data Structures versus Implementations
• Priority Queues
• Bidirectional Lists
• The vector Template
• The list Template
• The stack Template
• The queue Template
• The priority_queue Template
• The deque Template
• Software Maintenance Case Study: Appointment Calendar Using STL List
• Binary Trees
• Hash Tables
• The set Template
• The map Template
• Problem-Solving Case Study: Creating a Deck of Cards
• 18.1 What Is Recursion?
• 18.2 Recursive Algorithms with Simple Variables
• 18.3 Towers of Hanoi
• 18.4 Recursive Algorithms with Structured Variables
• Software Maintenance Case Study: Substituting Binary Search for Linear Search
• Printing a Dynamic Linked List in Reverse Order
• Copying a Dynamic Linked List
• 18.6 Recursion or Iteration?
• Problem-Solving Case Study: Quicksort
• Appendix A: Reserved Words
• Appendix B: Operator Precedence
• Appendix C: A Selection of Standard Library Routines
• Appendix D: Using This Book with a Prestandard Version of C++
• Appendix E: Character Sets
• Appendix F: Program Style, Formatting, and Documentation
• Appendix G: More on Floating-Point Numbers
• Appendix H: Using C Strings
• Appendix I: C++ char Constants

Product information

• Title: Programming and Problem Solving with C++: Comprehensive, 6th Edition
• Author(s): Nell Dale, Chip Weems
• Release date: March 2013
• Publisher(s): Jones & Bartlett Learning
• ISBN: 9781449694272

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About this book

This book aims to strengthen programming skills and foster creative thinking by presenting and solving 90 challenging problems. The book is intended for individuals with elementary, intermediate, and advanced Python programming skills who aspire to take their abilities to the next level. Additionally, the book is valuable for individuals interested in enhancing their creative thinking and logical reasoning skills. It is a self-instructional book meant to provide readers with the ability to solve challenging problems independently. The presented challenges are lucidly and succinctly expressed, facilitating readers to follow along and comprehend the problem-solving process. The challenges cover various fields, making it suitable for a wide range of individuals.

The book is divided into eight chapters, beginning with an introduction in chapter one. The second chapter presents essential Python basics for programming challenging problems, while the subsequent chapters focuson specific types of challenges. These include math-based challenges in chapter three, number-based challenges in chapter four, string-based challenges in chapter five, game-based challenges in chapter six, count-based challenges in chapter seven, and miscellaneous challenges in chapter eight. Each chapter comprises a set of challenges with examples, hints, algorithms, and Python code solutions. The target audience of the book includes computer science and engineering students, teachers, software developers, and participants in programming competitions.

Authors and Affiliations

About the authors.

Dr. Habib Izadkhah is an associate professor at the Department of Computer Science, University of Tabriz, Iran. He worked in the industry for a decade as a software engineer before becoming an academic. His research interests include algorithms and graphs, software engineering, and bioinformatics. More recently, he has been working on developing and applying deep learning to a variety of problems, dealing with biomedical images, speech recognition, text understanding, and generative models. He has contributed to various research projects, authored a number of research papers in international conferences, workshops, and journals, and also has written five books, including Source Code Modularization: Theory and Techniques from Springer and Deep Learning in Bioinformatics from Elsevier.

Rashid Behzadidoost is a Ph.D. candidate in Computer Science at the University of Tabriz, Iran. He is currently pursuing his doctoral degree in Computer Science, specializing in artificial intelligence and natural language processing. Rashid has a deep passion for coding and enjoys solving challenging problems. He has obtained his skills through years of study, practice, and teaching. He has taught several courses on computer sciences including challenging programming, microprocessor, and data structure at the University of Tabriz.

Bibliographic Information

Book Title : Challenging Programming in Python: A Problem Solving Perspective

Authors : Habib Izadkhah, Rashid Behzadidoost

DOI : https://doi.org/10.1007/978-3-031-39999-2

Publisher : Springer Cham

eBook Packages : Engineering , Engineering (R0)

Copyright Information : The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

Hardcover ISBN : 978-3-031-39998-5 Published: 18 October 2023

Softcover ISBN : 978-3-031-40001-8 Due: 18 November 2023

eBook ISBN : 978-3-031-39999-2 Published: 17 October 2023

Edition Number : 1

Number of Pages : XI, 280

Number of Illustrations : 3 b/w illustrations, 7 illustrations in colour

Topics : Mathematical and Computational Engineering , Control, Robotics, Mechatronics , Professional Computing

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• Competitive Programming - A Complete Guide
• Competitive Programming (CP) Handbook with Complete Roadmap

Mathematics for Competitive Programming

• Must do Math for Competitive Programming
• Pigeonhole Principle for CP | Identification, Approach & Problems
• Euler Totient for Competitive Programming
• Essential Maths for Competitive Programming Course By GeeksforGeeks

Number Theory for CP

• Binary Exponentiation for Competitive Programming
• GCD (Greatest Common Divisor) Practice Problems for Competitive Programming

Bit Manipulation for CP

• Bit Manipulation for Competitive Programming
• Bit Tricks for Competitive Programming
• Bitwise Hacks for Competitive Programming

Combinatorics for CP

• Inclusion Exclusion principle for Competitive Programming

Greedy for CP

• Binary Search on Answer Tutorial with Problems
• Ternary Search for Competitive Programming

Array based concepts for CP

• What are Online and Offline query-based questions in Competitive Programming
• Precomputation Techniques for Competitive Programming
• PreComputation Technique on Arrays
• Frequency Measuring Techniques for Competitive Programming

Dynamic Programming (DP) for CP

• DP on Trees for Competitive Programming
• Dynamic Programming in Game Theory for Competitive Programming

Game Theory for CP

• Interactive Problems in Competitive Programming
• Mastering Bracket Problems for Competitive Programming
• MEX (Minimum Excluded) in Competitive Programming

Graphs for CP

• BFS using STL for competitive coding

Advanced Data Structure

• Introduction to Heavy Light Decomposition
• Meet in the middle
• Policy based data structures in g++

Competitive Programming in Python

• Getting Started with Competitive Programming in Python
• Why is python best suited for Competitive Coding?
• Python in Competitive Programming
• Competitive Coding Setup for C++ and Python in VS Code using Python Script
• Python Input Methods for Competitive Programming
• Input/Output from external file in C/C++, Java and Python for Competitive Programming
• Fast I/O for Competitive Programming in Python
• Which Python Modules are useful for competitive programming?
• Python Tricks for Competitive Coding

Competitive Programming in C++

• Why C++ is best for Competitive Programming?
• Setting up a C++ Competitive Programming Environment
• How to setup Competitive Programming in Visual Studio Code for C++
• Setting up Sublime Text For Competitive Programming (C++) Using Fast Olympic Coding Plugin
• Setting Up Sublime Text For Competitive Coding in C++14 on Ubuntu
• Writing C/C++ code efficiently in Competitive programming
• Writing code faster during Competitive Programming in C++
• Which C++ libraries are useful for competitive programming?
• C++: Methods of code shortening in competitive programming
• Common mistakes to be avoided in Competitive Programming in C++ | Beginners
• C++ tricks for competitive programming (for C++ 11)

Competitive Programming in Java

• Setting up Java Competitive Programming Environment
• How to Setup IntelliJ IDEA For Java Competitive Programming Environment?
• Fast I/O in Java in Competitive Programming
• Efficiently Reading Input For Competitive Programming using Java 8
• Java tricks for competitive programming (for Java 8)
• Java Generics to Code Efficiently in Competitive Programming
• Java Competitive Programming Setup in VS Code with Fast I/O and Snippets
• Which Java libraries are useful for competitive programming?

Competitive Programming in JavaScript

• How to get started with Competitive Programming in JavaScript
• What is Competitive Programming/Coding and How to Prepare for It?
• Fast I/O for Competitive Programming
• Why Should You Do Competitive Programming?
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• What are Ad Hoc Problems in Competitive Programming?
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• How to become a master in competitive programming?

Tips & Tricks for CP

• Tips and Tricks for Competitive Programmers | Set 1 (For Beginners)
• Most Critical Mistakes & Tips in Competitive Programming
• How To Make Competitive Programming Interesting?
• Some important shortcuts in Competitive Programming
• A Better Way To Approach Competitive Programming
• Knowing the complexity in competitive programming
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Do you have a dream to win a Gold Medal in the Olympics of Programming (ACM ICPC)? Do you want to ace your career with Google Kickstart or want to win a prize amount of $20,000 to become a world champion in Facebook Hackercup or Google Code jam? Then you have to be an out-of-the-box problem solver. These are some most famous global algorithmic programming contests where programmers from all around the world put their coding skills to solve real-world problems with the power of thinking, creativity, collaboration, innovation, and the ability to perform under pressure.

Competitive programming is nothing but a sport where your code needs to beat others. So only solving a problem is not enough – you have to solve it in the most optimized way with the minimum time complexities and auxiliary space. Now if you want to code like that then you have to master the fundamentals and should learn in-depth concepts of every corner of programming, data structure , and algorithms . Only a good book can teach and guide you to become a Better Programmer. 

Here are some outstanding books which not only teach the syntax and semantics of programming languages but also help you to think, organize, and become a good problem solver, which is indeed the most important lesson for a coder. Also, if you want to lead the charts of competitive programming then get yourself enrolled in the Competitive Programming – Live course and enhance your problem-solving skills in one place only. 

1. Introduction to Algorithms By Thomas H . Cormen, Charles E. Leiserson: 

This book is the Bible of Competitive Coding, a beautifully written, comprehensive textbook that covers all the modern algorithms in-depth. It is a fully organized and definitive introductory book on the design and analysis of algorithms accessible to all levels of readers. Most books on algorithms available in the market are either rigorous and incomplete or cover huge material without rigor but this book is a rare example that uniquely combines both rigor and comprehensiveness. The first half of this book gives an effective method to study algorithms and the second half is focused on more advanced readers and curious students with compelling material on both the possibilities and the challenges in this fascinating field.

• Every chapter is well organized and best for self-study.
• Pseudocodes are designed to be readable by any beginner-level programmer.
• Elementary explanation without sacrificing depth of coverage or mathematical rigidity.
• Vastly used as a research reference in algorithms and commonly cited as a reference for algorithms in published papers(10,000+ citations).
• Bestseller programming book with half a million sold copies during the initial years.

2. Competitive Programming 3 by Steven Halim:

This is a hardcore Competitive Programming book specially designed for the booming International Olympiad in Informatics (IOI) and ACM International Collegiate Programming Contest (ICPC), a must-have for every competitive programmer. From an ordinary coder to one of the world’s finest competitive programmers, mastering the contents of this book is very necessary. It contains a collection of relevant data structures, algorithms, and programming tips written to be more competitive in these competitions. This book is such a treat for those who love problem-solving with programming, and those who want to go for interviews with big IT companies.

• Gives you a strong lower bound of problem-solving paradigm in computer science.
• Covers a wide variety of problems, many of them known to the community for featuring popular Online Judges.
• Explaining each algorithm with some example problems leads to a deep understanding of a pragmatic approach.
• Specially focused on the practice with some sample exercises for each topic for a better grasp.
• A masterpiece to guide any passionate algorithmic problem solver.

3. Guide to Competitive Programming by Antti Laaksonen:

This is an easy-to-follow, ideal reference book that presents a comprehensive introduction to modern competitive programming. It mainly focuses to learn algorithms through competitive programming to encourage the design of algorithms that work in real-world problems. This book also improves the debugging skills of a programmer and influences the thinking required to solve problems competitively. The book contains many tips and tricks which can be very useful for any competitive programmer.

• Describes how to write efficient algorithms to process large data sets quickly,
• Provides in-depth concepts on data structures of the C++ standard library,
• An efficient algorithmic design technique for dynamic programming optimization and graph algorithms,
• Easy and nice description of Advanced algorithm design topics like bit-parallelism and amortized analysis,
• Specialized in trees, and geometric algorithms, and discusses mathematical topics for competitive programming,
• Containing a broad range of topics of various levels of difficulty, this book is suitable for both beginners and more experienced readers.

4. Programming Challenges by Steven S Skiena:

This is a well-written competitive programming book for self-study, teaching innovative courses in algorithms and programming, and for international competition. International programming contests are the best way to improve your algorithmic and coding skills and for this reason, this book uses programming competition-type problems to motivate the study of algorithms and includes more than 100 programming challenges with the necessary theory and key concepts for approaching them. All the interesting problems in this book are well structured by topics to gain a concrete understanding of both algorithmic techniques and advanced coding topics.

• A large no of quality programming problems suitable for self-study
• Online judging at www.programming-challenges.com
• Suitable to prepare for major programming contents like ACM ICPC, IOI, and Topcoder Challenges.
• Contains quality concepts in brief on key elements like number theory, geometry, dynamic programming, and graph algorithms,
• Programs are written in popular programming languages like C, C++, and Java.

5. The Algorithm Design Manual By Steven S Skiena:

It is one of the best-selling classic books which reveals the mystery behind designing algorithms and analyzing their optimized efficiency. It’s not only the primary textbook of choice for algorithm design courses but also the best practical reference guide to algorithms for programmers, researchers, and students which provides straightforward access to combinatorial algorithms technology. This book also provides many short tips and tricks for designing and analyzing computer algorithms with a catalog of algorithmic resources, implementations, and an extensive bibliography.

• Online support for lectures with completely updated lecture slides, audio, and video.
• Updated links for the very best algorithm implementations available in C++, and Java,
• Contains the most popular algorithmic problems that arise most often in practice,
• Provides unique problems from real-world applications,
• Suitable for all levels of readers with complete guidance.

6. Clean Code: A Handbook of Agile Software Craftsmanship by Robert C. Martin

This book is best for people who want to gain insights into software development and code cleaning. If you are preparing for competitive programming then Clean Code is a good choice due to its step-by-step explanation of writing, cleaning, and refactoring codes. The book also has ample practical examples that the person can use to learn and practice in day-to-day life. The book is divided into 3 parts, the first one has principles, patterns, and practice for writing proper codes. The second part has numerous case studies regarding the complexity faced during writing codes. The third part is a kind of payoff that contains the list of heuristics and “smells” collected while creating new case studies. This book also helps in:

• telling difference between good and bad code
• creating good functions and classes
• way of implementing complete error handling

7. The Pragmatic Programmer

The book is written in a way that every time you read there is something new to learn. Since 1999 the day of its creation the book has helped its readers to learn and develop better software and made them better programmers. The Pragmatic Programmer is a good choice for someone who is looking forward to competitive programming as it has everything from becoming a skilled developer to a full-fledged programmer. The book gives you a glimpse of fascinating analogies, classic and modern anecdotes, and thought-provoking examples in order to make learning a more interesting and fun process. 

• The book covers a comprehensive range of programming
• Helps in software, career, and personality development of the reader
• Will help you in fighting rot software and avoid duplicating knowledge

Here’s a complete guide to Competitive Programming.

Conclusion:

The most important thing is to learn the core fundamental concepts and practice a lot. You can select any one of these books and start learning and start coding. The best thing about these books is that they will keep you motivated during your journey toward a good competitive programmer. So don’t stop keep learning, keep chasing, and most importantly keep practicing.

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Table of contents.

Title Contents Unit 1 Introduction to Computing and Algorithmic Problem Solving 1 Introduction to Digital Computer 2 Problem Solving Strategies Appendix A Practice Exercises with Algorithm and Flow Chart Appendix B Problem Solving Exercises with Algorithms and Pseudocode Unit 2 Introduction to Python and Data, Expressions, Statements 3 Introduction to Python Unit 3 Functions 4 Functions Unit 4 Lists, Tuples and Dictionaries 5 Strings and Lists 6 Tuples and Dictionaries Unit 5 Files, Modules and Packages 7 Files and Exceptions 8 Classes and Objects Appendix C Fundamental Standard Library Modules

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