If you are a newly fledged developer then you might have heard the term OOP tossed around quite a bit. OOP basically stands for Object-oriented programming and what it refers to is a programming model that emphasizes a data-centric or object-centric software design, rather than software designed around functions. In other words, the developer can manipulate objects instead of working on the logic that is required for the manipulation of the objects. Here we will give a more detailed explanation about OOP, how it is used, and why it is important.
OOP’s approach to programming is suited for companies or developers who need to manipulate complex and massive databases.
The software needs to be regularly updated and maintained and as a result, companies usually need someone on a full-time basis for the upkeep of their website or app. You can use OOP for creating simulation software, project management mobile apps, and other similar tools.
The benefits of relying on this tech are versatility or reusability, efficiency, and the ability to scale the tool to accommodate a growing database.
Let’s take an overview of how a typical OOP is structured:
- Classes – these are data types that are defined by users and they dictate how objects will interact with users, what attributes they will have, and what methods are going to be implemented. For example, if a class of users is a regular employee, the object can be his or her name, the attribute or properties can be an email address, and methods are sending emails or verifying emails.
- Objects – these are instances that are created or determined by the class and they can be real-world objects, like a smart fridge or abstract consents, like email.
- Method – think of methods as functions that describe what a certain object can do. Like in the first example we mentioned sending an email, but it can also be changing the temperature within a refrigerator through an app.
- Attributes – These act as templates that store data in order to give an accurate representation of the state of the object.
OOP Programming Languages
There are a few categories here as well. First, there are languages that are regarded as pure OOP. Meaning these are programs that treat everything as an object. A good example of this would be Ruby, Scala, Emerald, and Jade. These are languages that are easier to learn, but they do have some limitations when it comes to app development.
There is another category that consists of languages designed primarily for OOP use, but they also have other functions which allow for more modifications. These programs have a steeper learning curve and some examples are Java, Python, and C++.
Object-oriented programming makes it possible for small businesses to find employees that can perform simpler tasks and create decent platforms. Since OOPs are easier to learn, there are more employees on the market who are capable of providing these essential services for growing businesses. However, this overemphasis on objects also limits your potential to create a more unique and valuable platform that has its own unique algorithm. Meaning, you can only play with the contents of the OOPs toolbox, but you cannot redesign and modify those existing tools to do more awesome things.