Desea escribir mejor código orientado a objetos. ¿Cuáles son las mejores técnicas para mejorar tus habilidades?

Improving object-oriented programming skills requires both practice and understanding of various concepts and techniques. Here are some effective strategies to enhance your object-oriented programming skills: - Understand Object-Oriented Principles - Read Quality Code - Design Patterns - SOLID Principles - Practice Refactoring - Work on Projects - Code Reviews and Feedback - Write Testable Code

Below are the concise techniques to improve our object-oriented coding skills: 1. Learn OOP principles like encapsulation, inheritance, polymorphism, and abstraction. 2. Understand common design patterns and when to apply them. 3. Apply SOLID principles for cleaner, more maintainable code. 4. Regularly refactor your code for better design and readability. 5. Participate in code reviews and seek feedback from peers. 6. Write testable code with unit tests. 7. Study well-designed open-source projects. 8. Read books and articles on OOP design and programming. 9. Experiment with different object-oriented languages. 10. Build projects to practice and apply concepts.

To improve your object-oriented programming skills, consider the following techniques: Abstraction: Focus on identifying common patterns and creating abstract classes or interfaces. Encapsulation: Hide the internal state of objects and only expose necessary functionalities through methods. Inheritance: Use inheritance to create a hierarchy of classes to promote code reuse. Polymorphism: Use interfaces or base classes to allow objects to be treated as instances of their parent class.

1. Encapsulation: - Package code neatly. - Use access modifiers. - Create methods for data interaction. - Group related stuff in classes. 2. Inheritance: - Pass down traits. - Identify common features. - Create subclasses. - Build on existing code. 3.Polymorphism: - Objects behave differently. - Create classes with similar methods. - Use interfaces. - Switch objects easily. 4. Abstraction: - See the big picture. - Define abstract classes/interfaces. - Hide complex details. - Focus on tasks, not implementation.

OOP is way to write our code in good structure, means that we always want to avoid duplicity , hide important data and write code or function which is reusable so that any developer can understand code base all these functionality provide by oop . We should understand basic functionality and 4 pillors of OOP Inheritance, Polymorphism, Abstraction, Encapsulated all these provide a good pattern and structure.

When I was assigned to add new features to a large-scale application, I encountered significant challenges due to the lack of adherence to SOLID principles. Each addition became increasingly difficult and prone to unintended side effects. However, by gradually implementing SOLID principles, the transformation of the codebase occurred, making future enhancements much smoother. For newcomers to the concept, there are potential challenges associated with the implementation of SOLID principles. In the tech industry, it's all about trade-offs. It's better to apply these principles gradually and gain experience by working on real-world projects or contributing to open-source projects that adhere to SOLID principles.

Na verdade, não concordo em levar SOLID como uma regra absoluta. Assim como tudo em computação, trabalhamos com campos abstratos, e ideias de metodologias. SOLID contém princípios interessantes, mas levar ao pé da letra, você terá mais trabalho do que facilidade. Um exemplo é usando Repository como padrão. O mesmo facilita o uso das operações CRUD, porém, usando os princípios de SOLID, você terá que abstrair e separar tanto as camadas, que depois uma alteração será bem mais custosa. Mas veja, não disse para não usar, mas sim para ponderar na hora do uso, ver se faz sentido chegar até certo ponto.

At my previous company, working in big tech, I realized the importance of SOLID principles and what we fail to learn and apply in our degree. - One of the most important aspect that stood out was Dependency Inversion. Instead of classes depending on concrete implementations, they should depend on abstractions. This allows for easier testing and swapping of implementations without changing the dependent classes. - For example, consider a class that directly depends on a database connection. If you use Dependency Inversion, the class would depend on an interface for the database connection, and you can easily switch between different types of databases or mock implementations for testing and enables reduction in technical debt in future.

Implementing SOLID principles has tangibly improved my coding projects. Single responsibility made code easier to update and debug, while open-closed reduced bugs by avoiding changes to existing code when adding new features. Liskov substitution ensured seamless functionality across inherited classes, and interface segregation led to more intuitive, manageable interfaces. Dependency inversion simplified testing and modifications by decoupling components. These principles aren't just theoretical ideals; they're practical tools that have enhanced the robustness and flexibility of my software, making development more efficient and future-proof.

Having led teams through SOLID training previously, I've witnessed the immense value that comes with grasping these principles. Not only does it empower engineers to actively contribute to meaningful discussions during code reviews, but it also fosters a self-driven approach to enhancing overall code quality, maintainability, readability, and flexibility.

Prioritize pragmatic design and maintainable solutions. Overly complex approaches can introduce unnecessary overhead and maintenance challenges. Aim for solutions that are clear, concise, and directly address the problem at hand. Understanding design patterns is valuable, but their application should be judicious. Don't force patterns where they don't offer clear benefits. Choose the right tool for the job, and prioritize readability and maintainability. Focus on transferable learning. Invest in skills and knowledge that can be applied across different projects and technologies. Mastering the fundamentals and developing strong problem-solving skills will make you a more adaptable and valuable developer.

Focusing on the SOLID principles will help you build better object-oriented programs. These ideas will help you create more maintainable, scalable, and robust apps. Incorporating design patterns into your development process can also provide tried-and-true solutions to frequent code concerns, as well as a reusable blueprint for future problem solving. Learning when and how to use patterns like as Factory, Singleton, Strategy, Observer, Decorator, and Composite will help you design and adapt your code more effectively.

In my experience, good design patterns is the best way to achieve good OOP. Also, multiple inheritance is too complicated in languages that allow multiple inheritance. So, keep it simple!

Study, understand and use design patterns and avoid "reinventing the wheel". Design patterns are important because they: 1. Provide proven solutions 2. Improve code readability and maintainability 3. Enhance scalability and flexibility In essence, design patterns improve the quality and efficiency of software development by leveraging collective experience and best practices!

Design patterns are like kitchen tools: each solves a specific problem. For example, the Factory pattern is like a chef deciding what dish to cook based on the order, allowing your code to create objects without specifying the exact class, much like choosing a dish without knowing the recipe. The key is using the right tool for the job, not every tool for every problem. Just as you wouldn't use a hammer to slice bread, don't force a design pattern where it doesn't fit. It's about making your code more flexible and understandable, much like using the correct kitchen tool makes cooking easier and results better.

There are several ways to improve object-oriented coding skills just focus on regularly refactoring your code. Refactoring involves restructuring existing code without changing its external behavior, aiming to enhance readability and maintainability. Additionally, study design patterns, practice test-driven development (TDD), and seek feedback from peers or mentors to accelerate learning and create more efficient code.

When you want to focus on object orientation, it is a good idea to take a step back and think about what can logically be grouped into an object. Objects can be physical objects (like a person) or "clearly defined" concepts like a "network connection". Make sure that your objects are as "single responsibility" as possible - that is that they are only doing "one" thing.

Writing a code is simple and could be written by knowing the syntax and semantics of language.However to write better and effective object oriented code it will require, 1. Knowledge of OOPs, Solid principles. 2. You need to be a good observer, inquisitive and enthusiastic to study and see how the language framework APIs classes and libraries are designed and written.This will help you a lot in understanding real usage of design patterns and writing efficient, reusable and clean code. 3. Practice writing TDD and understanding business use cases before starting to code, to be able to write working software with correct class, interface and method, naming conventions and nomenclature. Review your code and be open to good suggestions.

Refactoring your code is similar to tidying up your workplace; it involves making your code clearer and more efficient without changing what it does. This method can eliminate confusing or unnecessary elements (code smells), simplify difficult bits, make your code easier to read, and improve testability. Consider cleaning and arranging your closet to make it easier to find and use what you need. Techniques include breaking down large methods into smaller ones, giving variables obvious names, using constants, simplifying conditional logic, and eliminating duplication. Regular refactoring helps your code stay healthy and maintainable.

When aiming for object orientation, it's beneficial to pause and consider what can be logically organized into an object. Objects can range from tangible entities (such as a person) to well-defined concepts (such as a "network connection"). It's crucial to ensure that your objects adhere to the principle of "single responsibility," meaning they should focus on performing just "one" specific task.

TDD is a crucial part of any software development or first step when you start crafting code. So, it always ideal to start first with writing a unit tests even before writing actual code for a business requirement/one of the acceptance criteria and then let the test fail first. Then write minimum logic to pass your test and gradually improve your logic. Since Fail Fast principle is the key ingredient to any successful system rather than fail safe practice.

Testing your code is crucial for ensuring reliability and functionality. Unit tests validate individual components for correctness. Integration tests check how different parts interact, identifying interface issues. System tests evaluate the entire application's performance against requirements. Regression tests ensure new changes don't disrupt existing functionality. Automated testing tools can streamline this process, providing continuous feedback during development. Employing a TDD approach, where tests are written before the code, can guide design and improve code quality. Regular testing minimizes bugs, enhances software stability, and boosts user confidence, making it an indispensable practice in software development.

TDD has always helped in writing better code. You write your test before writing the actual code. It is difficult in the beginning but once you get the hang of it, you can see the benefits unfold. It helps you write beautiful testable code and lets you fragment modules based on functionality.

-Adopt TDD to improve code quality and design by writing tests before implementing the actual code. -TDD helps in identifying design flaws early and ensures that your code is testable and maintainable.

Dive into the depths with unit testing, string everything together with integration testing, and see the big picture with system testing. Test-driven development (TDD) or behavior-driven development (BDD) are not the latest fads but methodologies that encourage you to write tests before even a single line of code. Think of it as planning your route before a road trip. It guides your coding journey, making sure you only write code that's necessary and that it does exactly what it's supposed to.

Peer review: Experience is a great teacher, so when you get your code peer reviewed it helps in learning techniques that others utilize. You should be able to give and receive constructive feedback to improve the quality of your code.

🛠️Work on personal projects: Find projects that interest you and implement them using object-oriented principles. This will provide hands-on experience and help you solidify your knowledge. 👀Read code reviews: Participate in code reviews or read existing codebases written by experienced developers. Pay attention to how they structure their code and apply OOP principles. 💬Engage with the community: Join online forums, communities, or attend meetups to discuss OO concepts, share experiences, and learn from others. 📚Consider attending courses or workshops specifically focused on object-oriented programming. This can provide a structured learning environment and expert guidance.

For the sake of your future self and any other maintainers, don't go overboard with inheritance and patterns. A future maintainer parachuting into your code should be able to make assumptions about what will happen without hidden "gotchas" due to non-intuitive side effects or over-ridden methods with drastically different behavior. As much as possible, name things clearly using the entities in your domain model and verbs with agreed upon meaning. Encapsulation and inheritance should abstract away details so that someone can easily see the general functionality, not hide landmines in files they haven't checked.

Before diving deep into core OOPs concept and coding, start to observe how the real world works. Take insights from nature and be an observer first. Nature is the original architect of complex, adaptable systems. By observing natural systems, you can learn valuable lessons about object-oriented design. The biggest example is the ecosystem, where each organism plays a specific role, communicates with others, and adapts to changes seamlessly, mirroring principles of OOPs in some way or the other.

Good object oriented programming is hard to find and/or practice. I've found Effective Java as a great book/tool to understand the practical advantages of writing object oriented code. Also I was fortunate to work with and observe some great practitioners of the art like Yannis Cosmadopolus and Max Patrushev. I wish that in those days we had code reviews integrated into our development lifecycle - I could have learnt a lot more.