For courses in Object-Oriented Design, C++ Intermediate Programming, and Object-Oriented Programming.

Written for software engineers “in the trenches,” this text focuses on the technology—the principles, patterns, and process—that help software engineers effectively manage increasingly complex operating systems and applications. There is also a strong emphasis on the people behind the technology. This text will prepare students for a career in software engineering and serve as an on-going education for software engineers.

Written by internationally-acclaimed trainer and developer Scott Ambler, this book is a must-have resource for designers, programmers and testers of today's OO applications. The author takes you through the entire process of building object applications, from analyzing the project, to designing a user-friendly interface, to testing your approaches to make sure your applications work properly. Building Object Applications That Work includes sections on: how to use the Unified Modeling Language effectively; analysis, so you know what you need to build; design techniques, so that you know how you are going to build your application; collecting the right metrics to improve your development approach; applying OO patterns to improve the quality of your applications; creating applications for stand-alone, client/server and distributed environments; using both relational and object-oriented databases to make your objects persistent; and architecting your applications so they are maintainable and extensible.

Use the computational thinking philosophy to solve complex problems by designing appropriate algorithms to produce optimal results across various domains Key Features Develop logical reasoning and problem-solving skills that will help you tackle complex problems Explore core computer science concepts and important computational thinking elements using practical examples Find out how to identify the best-suited algorithmic solution for your problem Book DescriptionComputational thinking helps you to develop logical processing and algorithmic thinking while solving real-world problems across a wide range of domains. It's an essential skill that you should possess to keep ahead of the curve in this modern era of information technology. Developers can apply their knowledge of computational thinking to solve problems in multiple areas, including economics, mathematics, and artificial intelligence. This book begins by helping you get to grips with decomposition, pattern recognition, pattern generalization and abstraction, and algorithm design, along with teaching you how to apply these elements practically while designing solutions for challenging problems. You'll then learn about various techniques involved in problem analysis, logical reasoning, algorithm design, clusters and classification, data analysis, and modeling, and understand how computational thinking elements can be used together with these aspects to design solutions. Toward the end, you will discover how to identify pitfalls in the solution design process and how to choose the right functionalities to create the best possible algorithmic solutions. By the end of this algorithm book, you will have gained the confidence to successfully apply computational thinking techniques to software development. What you will learn Find out how to use decomposition to solve problems through visual representation Employ pattern generalization and abstraction to design solutions Build analytical skills required to assess algorithmic solutions Use computational thinking with Python for statistical analysis Understand the input and output needs for designing algorithmic solutions Use computational thinking to solve data processing problems Identify errors in logical processing to refine your solution design Apply computational thinking in various domains, such as cryptography, economics, and machine learning Who this book is forThis book is for students, developers, and professionals looking to develop problem-solving skills and tactics involved in writing or debugging software programs and applications. Familiarity with Python programming is required.

The second part of a yearly series on simulation technology, OBJECT-ORIENTED SIMULATION presents an outstanding variety of the very latest advances in simulation techniques. This leading-edge volume contains a cohesive selection of presentations written by the world-renowned experts in a broad range of topics. OBJECT-ORIENTED SIMULATION is a key resource for anyone involved in computer simulator research and design as well as developers, producers, scholars, and managers. It is an excellent tool for preparing proposals for simulation in commercial and military fields.

The definitive guide to Java programming-thoroughly revised for Java SE 17 Fully updated for the current version of Java, Java SE 17, this practical guide from Oracle Press shows, step by step, how to design, write, troubleshoot, run, and maintain high-performance Java programs. Inside, bestselling author Herbert Schildt covers the entire Java language, including its syntax, keywords, and libraries. The book lays out cutting-edge programming techniques and best practices. Java: The Complete Reference, Twelfth Edition features clear explanations, detailed code samples, and real-world examples that demonstrate how Java can be put to work in the real world. JavaBeans, servlets, applets, Swing, lambda expressions, multithreading, and the default interface method are thoroughly discussed. You will get full details on all of the new features and functions available in Java SE 17. Designed for novice, intermediate, and professional programmers alike Source code for all examples and projects are available for download Written in the clear, uncompromising style for which Herb Schildt is famous

Software engineering has surfaced as an industrial field that is continually evolving due to the emergence of advancing technologies and innovative methodologies. Scrum is the most recent revolution that is transforming traditional software procedures, which has researchers and practitioners scrambling to find the best techniques for implementation. The continued development of this agile process requires an extensive level of research on up-to-date findings and applicable practices. Agile Scrum Implementation and Its Long-Term Impact on Organizations is a collection of innovative research on the methods and applications of scrum practices in developing agile software systems. The book combines perspectives from both the academic and professional communities as the challenges and solutions expressed by each group can create a better understanding of how practice must be applied in the real world of software development. While highlighting topics including scrum adoption, iterative deployment, and human impacts, this book is ideally designed for researchers, developers, engineers, practitioners, academicians, programmers, students, and educators seeking current research on practical improvements in agile software progression using scrum methodologies.

Object-Oriented Design with Applications has long been the essential reference to object-oriented technology, which, in turn, has evolved to join the mainstream of industrial-strength software development. In this third edition--the first revision in 13 years--readers can learn to apply object-oriented methods using new paradigms such as Java, the Unified Modeling Language (UML) 2.0, and .NET.The authors draw upon their rich and varied experience to offer improved methods for object development and numerous examples that tackle the complex problems faced by software engineers, including systems architecture, data acquisition, cryptoanalysis, control systems, and Web development. They illustrate essential concepts, explain the method, and show successful applications in a variety of fields. You'll also find pragmatic advice on a host of issues, including classification, implementation strategies, and cost-effective project management.New to this new edition areAn introduction to the new UML 2.0, from the notation's most fundamental and advanced elements with an emphasis on key changesNew domains and contextsA greatly enhanced focus on modeling--as eagerly requested by readers--with five chapters that each delve into one phase of the overall development lifecycle.Fresh approaches to reasoning about complex systemsAn examination of the conceptual foundation of the widely misunderstood fundamental elements of the object model, such as abstraction, encapsulation, modularity, and hierarchyHow to allocate the resources of a team of developers and mange the risks associated with developing complex software systemsAn appendix on object-oriented programming languagesThis is the seminal text for anyone who wishes to use object-oriented technology to manage the complexity inherent in many kinds of systems.
"Sidebars
Preface
Acknowledgments
About the Authors "
Section I: Concepts
Chapter 1: Complexity
Chapter 2: The Object Model
Chapter 3: Classes and Objects
Chapter 4: Classification
Section II: Method
Chapter 5: Notation
Chapter 6: Process
Chapter 7: Pragmatics
Chapter 8: System Architecture: Satellite-Based Navigation
Chapter 9: Control System: Traffic Management
Chapter 10: Artificial Intelligence: Cryptanalysis
Chapter 11: Data Acquisition: Weather Monitoring Station
Chapter 12: Web Application: Vacation Tracking System
Appendix A: Object-Oriented Programming Languages
Appendix B: Further Reading "
Notes
Glossary
Classified Bibliography
Index ""
"

A comprehensive guide to exploring modern Python through data structures, design patterns, and effective object-oriented techniques Key Features Build an intuitive understanding of object-oriented design, from introductory to mature programs Learn the ins and outs of Python syntax, libraries, and best practices Examine a machine-learning case study at the end of each chapter Book DescriptionObject-oriented programming (OOP) is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. Python Object-Oriented Programming, Fourth Edition dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation and testing of more complex OOP systems. These concepts are consolidated by open-ended exercises, as well as a real-world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9+ syntax and has been updated with type hints for ease of learning. Steven and Dusty provide a comprehensive, illustrative tour of important OOP concepts, such as inheritance, composition, and polymorphism, and explain how they work together with Python's classes and data structures to facilitate good design. In addition, the book also features an in-depth look at Python's exception handling and how functional programming intersects with OOP. Two very powerful automated testing systems, unittest and pytest, are introduced. The final chapter provides a detailed discussion of Python's concurrent programming ecosystem. By the end of the book, you will have a thorough understanding of how to think about and apply object-oriented principles using Python syntax and be able to confidently create robust and reliable programs. What you will learn Implement objects in Python by creating classes and defining methods Extend class functionality using inheritance Use exceptions to handle unusual situations cleanly Understand when to use object-oriented features, and more importantly, when not to use them Discover several widely used design patterns and how they are implemented in Python Uncover the simplicity of unit and integration testing and understand why they are so important Learn to statically type check your dynamic code Understand concurrency with asyncio and how it speeds up programs Who this book is forIf you are new to object-oriented programming techniques, or if you have basic Python skills and wish to learn how and when to correctly apply OOP principles in Python, this is the book for you. Moreover, if you are an object-oriented programmer coming from other languages or seeking a leg up in the new world of Python, you will find this book a useful introduction to Python. Minimal previous experience with Python is necessary.

Get ready to learn Java the fun way by developing games for the Android platform with this new and updated third edition Key Features Learn Java, Android, and object-oriented programming from scratch Find out how to build games including Sub Hunter, Retro Pong, Bullet Hell, Classic Snake, and Scrolling Shooters Create and design your own games by learning all the concepts that a game developer must know Book DescriptionAndroid is one of the most popular mobile operating systems today. It uses the most popular programming language, Java, as one of the primary languages for building apps of all types. Unlike most other Android books, this book doesn't assume that you have any prior knowledge of Java programming, instead helps you get started with building Android games as a beginner. This new, improved, and updated third edition of Learning Java by Building Android Games helps you to build Android games from scratch. Once you've got to grips with the fundamentals, the difficulty level increases steadily as you explore key Java topics, such as variables, loops, methods, object-oriented programming (OOP), and design patterns while working with up-to-date code and supporting examples. At each stage, you'll be able to test your understanding by implementing the concepts that you've learned to develop a game. Toward the end, you'll build games such as Sub Hunter, Retro Pong, Bullet Hell, Classic Snake, and Scrolling Shooter. By the end of this Java book, you'll not only have a solid understanding of Java and Android basics but will also have developed five cool games for the Android platform. What you will learn Set up a game development environment in Android Studio Respond to a player's touch and program intelligent enemies who can challenge the player in different ways Explore collision detection, sprite sheets animation, simple tracking and following, AI, parallax backgrounds, and particle explosions Animate objects at 60 FPS and manage multiple independent objects using OOP Work with design patterns such as OOP, singleton, strategy, and entity-component Work with the Android API, the SoundPool API, Paint, Canvas, Bitmap classes, and detect version numbers Who this book is forLearning Java by Building Android Games is for anyone who is new to Java, Android, or game programming and wants to develop Android games. The book will also serve as a refresher for those who already have experience using Java on Android or any other platform but are new to game development.