In the world of data that we live in today, your success as an organization depends on the high-quality programmers and developers working on writing code for your organization. The languages these programmers and developers use play a significant role in determining the success of the applications and in giving you a clear-cut idea of what to expect for the future.
Your developers may opt for different languages when it comes to different tasks without a clear choice to determine outcomes. It is highly probable for your developers to use server-side languages for tasks that evolve around server-side scripting. These languages include PHP, Java, Ruby and others of the likes.
Similarly, when it comes to other tasks and requirements, your developers and your software engineers will opt for multiple programming languages. Object-oriented programming languages are a huge hit with developers today and are followed closely by all involved. More often than not, the objective of the task at hand or the project being worked on determines the appropriate use of the right programming language.
However, projects call for object-oriented languages, which is when developers find it hard to choose the right one. Choosing the right programming language can make or break a project, which is why it is necessary that developers fully understand requirements and do not undermine them.
In this article, we take a closer look at what object-oriented programming actually is and the steps programmers can take to choose the perfect programming language. We also study some of these languages to make the choice easier for all involved.
What is Object-Oriented Programming?
Before we proceed any further, it is highly necessary for programmers and developers to understand what object-oriented programming is and how it works. Object-oriented programming, also commonly referred to as OOP, is one of the most common and popular forms of programming today.
OOP was a drastic shift in programming, as this approach relies on objects and classes for the language to work. Both these constructs can be confusing for developers to work on together, which is why there is some confusion and difficulties. A class is basically defined as a software blueprint through which objects are created and then identified. Hence, we can summarize that a class is a template that assists in the creation of a blueprint.
We can simplify this further by taking an easy example. You can begin by thinking of an object as something tangible that you can touch. Think of a record, a phone or a cup – anything that matches the requirement of being touched.
Classes are then created to put objects into different categories. For instance, you can group phones, tablets and laptops in a different class called mobility, while you can group records, cassettes and CDs into a different class called music. These classes form the basis of OOP and help organizations take them forward.
OOP is based on four simple principles, including:
- Encapsulation: Using this principle, an object can keep its current status private and hidden, even when it is present within a class.
- Abstraction: As per the principle of abstraction, objects hide all interactions other than those considered relevant and necessary to disclose to other objects surrounding them.
- Inheritance: This allows the software to create a child class based on the same fields and methods as the parent class. This cyclical development is natural, without errors or flaws.
- Polymorphism: Finally, the concept of polymorphism is common in OOP and allows objects to take multiple forms as per the context they are being used in.
OOP makes it easier for organizations to collaborate through the development process and categorize things rightly.
Programming Languages for Object-Oriented Programming
We now cut the chase short and look at some of the best object-oriented programming languages to help your growth motives.
Without even a semblance of doubt, Java is one of the best and most widely-used OOP in the market today. Java has come a long way and is widely known for its implementation and strategic development. Android development has progressed to new heights on the back of Java, which is an achievement of its own.
Also Read: Top Java Frameworks
Python is a general-purpose language, which you can apply across multiple cases. What makes the language excellent is its ability to fit in well with all use-cases. We have included Python near the top of this list because the language is perfect for data science and machine learning. You will not find a language better at ML and Data Science than Python.
Also Read : Role of python in AI
C++ is another language used for building interpreters and compilers that can help interpret other programing languages. C++ basically includes all the concepts of C while improving on it further to make it fast and flexible for OOP usage.
Ruby is very similar to Python when it comes to implementation and general usability. Ruby is built to impress and comes with a complete and extensible design that is simple in nature. The syntax for Ruby is fairly simple and can literally be understood and used by anyone who has operated a modern-day programming language.
Also Read : Ruby on Rails for e-Commerce
C# is another extremely popular language used for general purposes and to meet OOP requirements. Developed by Microsoft back in 2000, C# was designed with the .NET revolution and initiative in mind. C# is primarily used for desktop applications, which makes it perfect for software processes with GUI. C# is also used within the gaming sector.
Object-oriented programming languages continue to play an extremely critical role in the growth and development of software operations around us today. It is hard to hence ignore the OOP languages mentioned in this article.
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