20 Best Books On Object Oriented Programming (2023 Update)

This is a revised and updated edition of this title, which provides a practical introduction to the design of object-oriented programs using uml. it includes detailed coverage of modelling techniques and notation, with worked examples throughout. the book contains substantial code examples in java. it clearly connects design concepts with code, and is useful for people with programming experience who wish to learn about design. it is also useful for computer science and software engineering undergraduates taking courses covering object-oriented techniques. the book provides explanations of uml and ocl notation emphasis on transitions from design to code, as well as including complete case studies with code, and many exercises.

Embrace object-oriented programming and explore language complexities, design patterns, and smart programming techniques using this hands-on guide with c++ 20 compliant examples – key features: apply object-oriented design concepts in c++ using direct language features and refined programming techniques – discover sophisticated programming solutions with nuances to become an efficient programmer – explore design patterns as proven solutions for writing scalable and maintainable c++ software – book description: even though object-oriented software design enables more easily maintainable code, companies choose c++ as an oo language for its speed. object-oriented programming in c++ is not automatic – it is crucial to understand oo concepts and how they map to both c++ language features and oop techniques. distinguishing your code by utilizing well-tested, creative solutions, which can be found in popular design patterns, is crucial in today's marketplace. this book will help you to harness oop in c++ to write better code. – starting with the essential c++ features, which serve as building blocks for the key chapters, this book focuses on explaining fundamental object-oriented concepts and shows you how to implement them in c++. with the help of practical code examples and diagrams, you'll learn how and why things work. the book's coverage furthers your c++ repertoire by including templates, exceptions, operator overloading, stl, and oo component testing. you'll discover popular design patterns with in-depth examples and understand how to use them as effective programming solutions to solve recurring oop problems. – by the end of this book, you'll be able to employ essential and advanced oop concepts to create enduring and robust software. – what you will learn: quickly learn core c++ programming skills to develop a base for essential oop features in c++implement oo designs using c++ language features and proven programming techniques – understand how well-designed, encapsulated code helps make more easily maintainable software – write robust c++ code that can handle programming exceptions – design extensible and generic code using templates – apply operator overloading, utilize stl, and perform oo component testing – examine popular design patterns to provide creative solutions for typical oo problems – who this book is for: programmers wanting to utilize c++ for oop will find this book essential to understand how to implement oo designs in c++ through both language features and refined programming techniques while creating robust and easily maintainable code. this oop book assumes prior programming experience; however, if you have limited or no prior c++ experience, the early chapters will help you learn essential c++ skills to serve as the basis for the many oop sections, advanced features, and design patterns.

Object-oriented python (oop) is a paradigm that combines data and code into cohesive units, allowing you to think differently about computational problems and solve them in a highly reusable way. aimed at intermediate-level programmers, object-oriented python is a hands-on tutorial that goes deep into the core tenets of oop, showing you how to use encapsulation, polymorphism, and inheritance to write games and apps using python. the book begins by demonstrating key problems inherent in procedural programming, then guides you through the basics of creating classes and objects in python. you'll build on this groundwork by developing buttons, text fields, and other gui elements that are standard in event-driven environments. you'll also use many real-world code examples and two pygame-based packages to help turn theory into practice, enabling you to easily write interactive games and applications complete with gui widgets, animations, multiple scenes, and reusable game logic. in the final chapter, you'll bring it all together by building a fully functional video game that incorporates many of the oop techniques and gui elements covered in the book. you'll learn how to: – create and manage multiple objects using an object manager object – use encapsulation to hide the inner details of objects from client code – use polymorphism to define one interface and implement it in multiple classes – apply inheritance to build on existing code object-oriented python is a visual, intuitive guide to fully understanding how oop operates and how you can use it to make your code more maintainable, readable, and efficient–without sacrificing functionality.

For courses in software engineering, software development, or object-oriented design and analysis at the junior/senior or graduate level. this text can also be utilized in short technical courses or in short, intensive management courses. shows students how to use both the principles of software engineering and the practices of various object-oriented tools, processes, and products. using a step-by-step case study to illustrate the concepts and topics in each chapter, bruegge and dutoit emphasize learning object-oriented software engineer through practical experience: students can apply the techniques learned in class by implementing a real-world software project. the third edition addresses new trends, in particular agile project management (chapter 14 project management) and agile methodologies (chapter 16 methodologies).

Foreword by kent beck "the authors of this book have led a revolution in the craft of programming by controlling the environment in which software grows.” –ward cunningham “at last, a book suffused with code that exposes the deep symbiosis between tdd and ood. this one's a keeper.” –robert c. martin “if you want to be an expert in the state of the art in tdd, you need to understand the ideas in this book.”–michael feathers test-driven development (tdd) is now an established technique for delivering better software faster. tdd is based on a simple idea: write tests for your code before you write the code itself. however, this "simple" idea takes skill and judgment to do well. now there's a practical guide to tdd that takes you beyond the basic concepts. drawing on a decade of experience building real-world systems, two tdd pioneers show how to let tests guide your development and “grow” software that is coherent, reliable, and maintainable. steve freeman and nat pryce describe the processes they use, the design principles they strive to achieve, and some of the tools that help them get the job done. through an extended worked example, you'll learn how tdd works at multiple levels, using tests to drive the features and the object-oriented structure of the code, and using mock objects to discover and then describe relationships between objects. along the way, the book systematically addresses challenges that development teams encounter with tdd–from integrating tdd into your processes to testing your most difficult features. coverage includes – implementing tdd effectively: getting started, and maintaining your momentum throughout the project – creating cleaner, more expressive, more sustainable code – using tests to stay relentlessly focused on sustaining quality – understanding how tdd, mock objects, and object-oriented design come together in the context of a real software development project – using mock objects to guide object-oriented designs – succeeding where tdd is difficult: managing complex test data, and testing persistence and concurrency

There's more to abap than procedural programming. if you're ready to leap into the world of abap objects–or are already there and just need a refresher–then this is the book you've been looking for. thanks to explanations of basic concepts, practical examples that show oop in action, and updates for as abap 7.4, you'll find answers to questions you didn't even know you had. clear conceptual explanations master the basics with easy-to-understand explanations that make coding with classes and objects seem like second nature. practical examples the best way to learn is by doing. download source code to practice your skills in object cleanup and initialization, inheritance, polymorphism, and more.updates for new releases and tools make sure your skills are up to date with the latest information on how as abap 7.4 will affect your object-oriented programming. highlights: working with objects encapsulation and implementation hiding object initialization and cleanup inheritance polymorphism component-based design exceptions abap unit alv object model object services bopf

Object-oriented software engineering is written for both the traditional one-semester and the newer two-semester software engineering curriculum. part i covers the underlying software engineering theory, while part ii presents the more practical life cycle, workflow by workflow. the text is intended for the substantial object-oriented segment of the software engineering market. it focuses exclusively on object-oriented approaches to the development of large software systems that are the most widely used. text includes 2 running case studies, expanded coverage of agile processes and open-source development.

Building on seven strong editions, the eighth edition maintains the organization and approach for which object-oriented and classical software engineering is known while making significant improvements and additions to content as well as problems and projects. the revisions for the eighth edition make the text easier to use in a one-semester course. integrating case studies to show the object oriented approach to software engineering, object-oriented and classical software engineering, 8/e presents an excellent introduction to software engineering fundamentals, covering both traditional and object-oriented techniques. while maintaining a unique organization with part i covering underlying software engineering theory, and part ii presenting the more practical life cycle, the eighth edition includes significant revision to problems, new content, as well as a new chapter to enable instructors to better-utilize the book in a one-semester course. complementing this well-balanced approach is the straightforward, student-friendly writing style, through which difficult concepts are presented in a clear, understandable manner.

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 are an introduction to the new uml 2.0, from the notation's most fundamental and advanced elements with an emphasis on key changes new domains and contexts a 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 systems an examination of the conceptual foundation of the widely misunderstood fundamental elements of the object model, such as abstraction, encapsulation, modularity, and hierarchy how to allocate the resources of a team of developers and mange the risks associated with developing complex software systems an appendix on object-oriented programming languages this 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

Uncover modern python with this guide to python data structures, design patterns, and effective object-oriented techniques – key features: in-depth analysis of many common object-oriented design patterns that are more suitable to python's unique style – learn the latest python syntax and libraries – explore abstract design patterns and implement them in python 3.8book description: object-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. this third edition of python 3 object-oriented programming fully explains classes, data encapsulation, and exceptions with an emphasis on when you can use each principle to develop well-designed software. – starting with a detailed analysis of object-oriented programming, you will use the python programming language to clearly grasp key concepts from the object-oriented paradigm. you will learn how to create maintainable applications by studying higher level design patterns. the book will show you the complexities of string and file manipulation, and how python distinguishes between binary and textual data. not one, but two very powerful automated testing systems, unittest and pytest, will be introduced in this book. you'll get a comprehensive introduction to python's concurrent programming ecosystem. – by the end of the book, you will have thoroughly learned object-oriented principles using python syntax and be able to create robust and reliable programs confidently. – what you will learn: implement objects in python by creating classes and defining methods – grasp common concurrency techniques and pitfalls in python 3extend class functionality using inheritance – understand when to use object-oriented features, and more importantly when not to use them – discover what design patterns are and why they are different in python – uncover the simplicity of unit testing and why it's so important in python – explore concurrent object-oriented programming – who this book is for: if you're new to object-oriented programming techniques, or if you have basic python skills and wish to learn in depth how and when to correctly apply oop in python, this is the book for you. if you are an object-oriented programmer for other languages or seeking a leg up in the new world of python 3.8, you too will find this book a useful introduction to python. previous experience with python 3 is not necessary.

Gain comprehensive insights into programming practices, and code portability and reuse to build flexible and maintainable apps using object-oriented principles key features extend core oop techniques to increase integration of classes created with python explore various python libraries for handling persistence and object serialization learn alternative approaches for solving programming problems, with different attributes to address your problem domain book description object-oriented programming (oop) is a relatively complex discipline to master, and it can be difficult to see how general principles apply to each language's unique features. with the help of the latest edition of mastering objected-oriented python, you'll be shown how to effectively implement oop in python, and even explore python 3.x. complete with practical examples, the book guides you through the advanced concepts of oop in python, and demonstrates how you can apply them to solve complex problems in oop. you will learn how to create high-quality python programs by exploring design alternatives and determining which design offers the best performance. next, you'll work through special methods for handling simple object conversions and also learn about hashing and comparison of objects. as you cover later chapters, you'll discover how essential it is to locate the best algorithms and optimal data structures for developing robust solutions to programming problems with minimal computer processing. finally, the book will assist you in leveraging various python features by implementing object-oriented designs in your programs. by the end of this book, you will have learned a number of alternate approaches with different attributes to confidently solve programming problems in python. what you will learn explore a variety of different design patterns for the __init__() method learn to use flask to build a restful web service discover solid design patterns and principles use the features of python 3's abstract base create classes for your own applications design testable code using pytest and fixtures understand how to design context managers that leverage the 'with' statement create a new type of collection using standard library and design techniques develop new number types above and beyond the built-in classes of numbers who this book is for this book is for developers who want to use python to create efficient programs. a good understanding of python programming is required to make the most out of this book. knowledge of concepts related to object-oriented design patterns will also be useful.

Clearly written with practical exercises, it's the painless way to learn how to harness the power of oop in python. – key features: learn how to do object oriented programming in python using this step-by-step tutorial – design public interfaces using abstraction, encapsulation, and information hiding – turn your designs into working software by studying the python syntax – raise, handle, define, and manipulate exceptions using special error objects – implement object oriented programming in python using practical examples – book description: object oriented programming is a very important aspect of modern programming languages. the basic principles of object oriented programming are relatively easy to learn. putting them together into working designs can be challenging. – this book makes programming more of a pleasure than a chore using powerful python 3 object-oriented features of python 3. it clearly demonstrates the core oop principles and how to correctly implement oop in python. object oriented programming ranks high in importance among the many models python supports. yet, many programmers never bother learning the powerful features that make this language object oriented. – the book teaches when and how oop should be correctly applied. it emphasizes not only the simple syntax of oop in python, but also how to combine these objects into well-designed software. – this book will introduce you to the terminology of the object-oriented paradigm, focusing on object-oriented design with step-by-step examples. it will take you from simple inheritance, one of the most useful tools in the object-oriented programmer's toolbox, all the way through to cooperative inheritance, one of the most complicated. you will be able to raise, handle, define, and manipulate exceptions. – you will be able to integrate the object-oriented and the not-so-object-oriented aspects of python. you will also be able to create maintainable applications by studying higher level design patterns. you'll learn the complexities of string and file manipulation, and how python distinguishes between binary and textual data. not one, but two very powerful automated testing systems will be introduced to you. you'll understand the joy of unit testing and just how easy they are to create. you'll even study higher level libraries such as database connectors and gui toolkits and how they apply object-oriented principles. – what you will learn: implement objects in python by creating classes and defining methods – separate different objects into a taxonomy of classes, and describe the properties and behaviors of those objects via the class interface – design public interfaces using abstraction, encapsulation, and information hiding – turn your designs into working software by learning the python syntax – share implementation using inheritance – add functionality to the existing classes and built-ins using inheritance – share similar code between classes by abstracting it into a parent class – raise, handle, define, and manipulate exceptions using special error objects – understand when to use object-oriented features, and more importantly when not to – learn what design patterns are, and why they are different in python – uncover the simplicity of unit testing and why it's so important in python – utilize common python 3 modules, libraries, and frameworks – who this book is for: if you're new to object oriented programming techniques, or if you have basic python skills and wish to learn in depth how and when to correctly apply object oriented programming in python, this is the book fo

Object-oriented programming (oop) is the foundation of modern programming languages, including c++, java, c#, visual basic . net, ruby, objective-c, and swift. objects also form the basis for many web technologies such as javascript, python, and php. it is of vital importance to learn the fundamental concepts of object orientation before starting to use object-oriented development environments. oop promotes good design practices, code portability, and reuse-but it requires a shift in thinking to be fully understood. programmers new to oop should resist the temptation to jump directly into a particular programming language or a modeling language, and instead first take the time to learn what author matt weisfeld calls "the object-oriented thought process." written by a developer for developers who want to improve their understanding of object-oriented technologies, the object-oriented thought process provides a solutions-oriented approach to object-oriented programming. readers will learn to understand the proper uses of inheritance and composition, the difference between aggregation and association, and the important distinction between interfaces and implementations. while programming technologies have been changing and evolving over the years, object-oriented concepts remain a constant-no matter what the platform. this revised edition focuses on the oop technologies that have survived the past 20 years and remain at its core, with new and expanded coverage of design patterns, avoiding dependencies, and the solid principles to help make software designs understandable, flexible, and maintainable.

The complete guide to writing more maintainable, manageable, pleasing, and powerful ruby applications – ruby's widely admired ease of use has a downside: too many ruby and rails applications have been created without concern for their long-term maintenance or evolution. the web is awash in ruby code that is now virtually impossible to change or extend. this text helps you solve that problem by using powerful real-world object-oriented design techniques, which it thoroughly explains using simple and practical ruby examples. – sandi metz has distilled a lifetime of conversations and presentations about object-oriented design into a set of ruby-focused practices for crafting manageable, extensible, and pleasing code. she shows you how to build new applications that can survive success and repair existing applications that have become impossible to change. each technique is illustrated with extended examples, all downloadable from the companion web site,poodr.info. – the first title to focus squarely on object-oriented ruby application design,practical object-oriented design in ruby will guide you to superior outcomes, whatever your previous ruby experience. novice ruby programmers will find specific rules to live by; intermediate ruby programmers will find valuable principles they can flexibly interpret and apply; and advanced ruby programmers will find a common language they can use to lead development and guide their colleagues. – this guide will help you – understand how object-oriented programming can help you craft ruby code that is easier to maintain and upgrade – decide what belongs in a single ruby class avoid entangling objects that should be kept separate define flexible interfaces among objects reduce programming overhead costs with duck typing successfully apply inheritance build objects via composition design cost-effective tests solve common problems associated with poorly designed ruby code

Do modern programming languages, ides, and libraries make coding easy? maybe, but coding is not design. large-scale or expensive apps clearly require evaluation of design choices. still, software design directly impacts code reuse and longevity even for small-scale apps with limited overhead. this text evaluates and contrasts common object-oriented designs. a given problem may have many solutions. a developer may employ different design techniques – composition, inheritance, dependency injection, delegation, etc. – to solve a particular problem. a skilled developer can determine the costs and benefits of different design responses, even amid competing concerns. a responsible developer documents design choices as a contract with the client, delineating external and internal responsibilities. to promote effective software design, this book examines contractual, object-oriented designs for immediate and sustained use as well as code reuse. the intent of identifying design variants is to recognize and manage conflicting goals such as short versus long-term utility, stability versus flexibility, and storage versus computation. many examples are given to evaluate and contrast different solutions and to compare c# and c++ effects. no one has a crystal ball; however, deliberate design promotes software longevity. with the prominence of legacy oo code, a clear understanding of different object-oriented designs is essential. design questions abound. is code reuse better with inheritance or composition? should composition rely on complete encapsulation? design choices impact flexibility, efficiency, stability, longevity, and reuse, yet compilers do not enforce design and syntax does not necessarily illustrate design. through deliberate design, or redesign when refactoring, developers construct sustainable, efficient code.

This tutorial presents the sophisticated new features of the most current ansi/iso c++ standard as they apply to object-oriented programming. learn the concepts of object-oriented programming, why they exist, and how to utilize them to create sophisticated and efficient object-oriented applications. this book expects you to be familiar with basic programming concepts. it is no longer enough to understand the syntax and features of the language. you must also be familiar with how these features are put to use. get up to speed quick on the new concepts of object-oriented design patterns, crc modeling, and the new universal modeling language (uml), which provides a systematic way to diagram the relationship between classes. object-oriented programming is presented through the use of practical task-oriented examples and figures that help conceptualize and illustrate techniques and approaches, and questions and exercises to reinforce learning concepts.

This tutorial presents the sophisticated new features of the most current ansi/iso c++ standard as they apply to object-oriented programming. learn the concepts of object-oriented programming, why they exist, and how to utilize them to create sophisticated and efficient object-oriented applications. this book expects you to be familiar with basic programming concepts. it is no longer enough to understand the syntax and features of the language. you must also be familiar with how these features are put to use. get up to speed quick on the new concepts of object-oriented design patterns, crc modeling, and the new universal modeling language (uml), which provides a systematic way to diagram the relationship between classes. object-oriented programming is presented through the use of practical task-oriented examples and figures that help conceptualize and illustrate techniques and approaches, and questions and exercises to reinforce learning concepts.

The object-oriented thought process, fourth edition an introduction to object-oriented concepts for developers looking to master modern application practices object-oriented programming (oop) is the foundation of modern programming languages, including c++, java, c#, visual basic . net, ruby, and objective-c. objects also form the basis for many web technologies such as javascript, python, and php. it is of vital importance to learn the fundamental concepts of object orientation before starting to use object-oriented development environments. oop promotes good design practices, code portability, and reuse–but it requires a shift in thinking to be fully understood. programmers new to oop should resist the temptation to jump directly into a particular programming language (such as objective-c, vb . net, c++, c# . net, or java) or a modeling language (such as uml), and instead first take the time to learn what author matt weisfeld calls “the object-oriented thought process.” written by a developer for developers who want to make the leap to object-oriented technologies, the object-oriented thought process provides a solutions-oriented approach to object-oriented programming. readers will learn to understand the proper uses of inheritance and composition, the difference between aggregation and association, and the important distinction between interfaces and implementations. while programming technologies have been changing and evolving over the years, object-oriented concepts remain a constant–no matter what the platform. this revised edition focuses on interoperability across programming technologies, whether you are using objects in traditional application design, in xml-based data transactions, in web page development, in mobile apps, or in any modern programming environment. “programmers who aim to create high quality software–as all programmers should–must learn the varied subtleties of the familiar yet not so familiar beasts called objects and classes. doing so entails careful study of books such as matt weisfeld's the object-oriented thought process.” –bill mccarty, author of java distributed objects, and object-oriented design in java contents at a glance 1 introduction to object-oriented concepts2 how to think in terms of objects3 advanced object-oriented concepts4 the anatomy of a class5 class design guidelines6 designing with objects7 mastering inheritance and composition8 frameworks and reuse: designing with interfaces and abstract classes9 building objects and object-oriented design10 creating object models11 objects and portable data: xml and json12 persistent objects: serialization, marshaling, and relational databases13 objects in web services, mobile apps, and hybrids14 objects and client/server applications15 design patterns

Object-oriented design with uml and java provides an integrated introduction to object-oriented design with the unified modelling language (uml) and the java programming language. the book demonstrates how java applications, no matter how small, can benefit from some design during their construction. fully road-tested by students on the authors' own courses, the book shows how these complementary technologies can be used effectively to create quality software. it requires no prior knowledge of object orientation, though readers must have some experience of java or other high level programming language. this book covers object technology; object-oriented analysis and design; and implementation of objects with java. it includes two case studies dealing with library applications. the uml has been incorporated into a graphical design tool called rome, which can be downloaded from the book's website. this object modelling environment allows readers to prepare and edit various uml diagrams. rome can be used alongside a java compiler to generate java code from a uml class diagram then compile and run the resulting application for hands-on learning. this text would be a valuable resource for undergraduate students taking courses on o-o analysis and design, o-o modelling, java programming, and modelling with uml. * integrates design and implementation, using java and uml* includes case studies and exercises * bridges the gap between programming texts and high level analysis books on design

Get complete coverage of the object-oriented development process! object-oriented programming paired with object-oriented systems development makes this book a comprehensive tool for the serious programmer. using java to develop object-oriented information systems, this text moves from an overview of key concepts and java fundamentals into a building case study utilizing uml models. by the completion of the text, users will have implemented key parts of a working system according to examples and scenarios. bring your programming experience into the next level!