Top Object Oriented Programming Languages To Follow in 2020

After being worked on hundreds of development projects, I observed each of them had problems regarding object-oriented programming, domain, architecture, encapsulation, inheritance, abstraction, and polymorphism. Here I would like to say that these problems weren’t just challenging, but also made my job tedious. Every time I had to make sure that I didn’t miss anything, no errors, correct coding conventions, etc. etc.

I face a lot of difficulties with object-oriented programming, so I became obsessed with seeking a solution. That’s the goal of this post to introduce with that mix of tools and programming languages that I found to solve those issues. Let’s first discuss the issues faced by most developers, including myself and other developers:

Problems I Face While Coding With Object-Oriented Programming Languages

As you know the programming task is pretty challenging. However, we developers manage to express that idea in our code. But let’s also face the reality. While developing software or application some basic difficulties that I face is a miscommunication with the development team. Technical issues that slow my work are legacy codes, scaling of codes, and tricky codes kick away my ideas are some of the consistent problems.

Too big data completely ruin the coding, but I stay generous and assume that this data will produce some significant results. Managing this big data may end up with code that slows down your entire development process.

Multithreading issues are quite annoying because when they don’t work, it’s complete chaos for programmers. Those unpredictable results, testing complications, difficulty in identifying coding errors, complications in porting existing code, etc. all add up to my problem.

Closures in Java, Python, and Ruby are the major sources of difficulties for programmers. I many times can’t figure out what’s being closed in code and where are the boundaries of closure in a particular code.

In software development, correct coding and user-centricity aren’t the options – they are the priority. You have to know what a user wants. Ultimately, your software solution will be used by the end-user. However, the user should know what programming language and tools they need to accomplish the project. And that’s where object-oriented logic comes into play. Do you still didn’t get it?

Here is the Full Concept of Object-Oriented Programming

Object-oriented programming enables programmers to work in a manner as they are working with real-life entities. In OOP, objects can store various methods in the form of knowledge, data, and state. Every object in the object-oriented programming has its own copy of the instance variables:

Encapsulation: From the software development perspective, encapsulation makes developers to quickly understand the code and reuse the code in other application development projects.

Abstraction: It is a key element of good software design. Abstraction makes your application easily extendable on any platform.

Polymorphism: A significant feature of object-oriented programming that enables programmers to write programs that are easier to create and reuse in other projects.

Inheritance: It makes coding more flexible that tends to result in a better organization of code in simple and smaller units.

Other advantages of object-oriented programming is you can use it to kinds of web applications for thorough data analysis, less development time, accurate coding, easy testing, reusability, debugging, less data corruption, and maintenance. For less complicated applications, OOP languages offer ease and transparency. Something that can make coding difficult for programmers is to analyze the right OOP language for the development process.

Come to Google Search Trends for the top OOP programming languages, period from June 2018 – May 2019.

Top Object oriented programming languages

Python

Java

Go

Ruby

C++

To simply this, presenting here the list of top object-oriented programming languages to follow in 2020 with detailed information.

Also Read: 10 Top Programming Languages in 2019 for Businesses

 

Top 5 Object-Oriented Programming Languages

Java

Top Object oriented programming languages

Java is much more than just a high-level programming language that is widely known and most demanded OOP language for enterprise-grade application development. With Java, developers have everything on their fingertips that they need to build web applications and software solutions.

Why Java in my list of top OOP programming languages?

It is because of Java’s motto “Written once, run anywhere” that makes it powerful, portable, and scalable enough to build Java web systems and applications. Java has an excellent development ecosystem that only a few languages have. When talking about the concept of object-oriented programming, Java is close to 100% of the concept. It offers all the benefits of high-level object-oriented programming languages with modular software, flexibility, extensibility, and easy development process.

Java libraries, frameworks, makes Java easily readable on all the platforms it is running on. Also, JVM (Java Virtual Machine) is the core concept of the high-level programming language that executes, loads, and verifies Java code.

Want to build your own app? ValueCoders, a software development company offers experienced Java Web developers for startups and SMEs. RENT A CODER TODAY!!

Read More: Python VS Java, who is winning the battle of codes?

Golang

Top Object oriented programming languages

Go is new in the list of top programming languages. Developed by Google in 2007, there is a lot of discussion going around whether Go is an object-oriented programming language or not. I want to make you clear that Go programming language doesn’t have anything like an object or class, but it has some analogous structures. So, to a certain point, I can say Go is one of the popular most object-oriented programming languages.

Why golang in my list of top object-oriented programming languages?

Here’s an example of OOP in Golang:

type Bird struct {
Name string
mean bool
}

type Sparrow struct {
Basics Bird
ChirpsStrength int
}

type Parrot struct {
Bird
ChirpsStrength int
}

Here you can see three structs that you can see in any OOP example. We have a base struct here the bird and two other structs under the base struct (sparrow, parrot ).

Here I would like to say that Go took the best part of the object-oriented programming language. So, left out the rest things and get the benefit of writing polymorphic code in Golang.

Want to build your own app? ValueCoders, a software development company offers experienced Golang Web developers for startups and SMEs. RENT A CODER TODAY!!

Read More: Python Vs GoLang, Select the Best One For Your Business

Python

Python codes are not fully object-oriented but the language supports it. Python ties together with the concept of OOP programming with its combination of readability, flexibility to create complex data science operations. No doubt, Python is one of the most loved programming languages of the year according to the Stack Overflow survey. It is object-oriented, cross-platform, and comes with an extensive set of libraries including Django, Theano, TensorFlow, Scikit-Learn, Keras, PyTorch & Pandas.

Why Python in my list of top object-oriented programming languages?

When you need to add something complex to your Python application, what will you do? How would you know which element is supposed to be there in your application? What if you had 1000s of birds? Do you have information regarding the name, type, and color of the bird?

These all can be solved through Classes in Python that are used to define data-structures about something specific.

See, how to define a class in Python

class Bird:
pass

Here you can also use Instance attributes to define characteristics:
lass Bird:

# Initializer / Instance Attributes
def __init__(self, type, color):
self.type = type
self.color = color

I hope you have some clarity on why Python is considered as the OOP programming language. It works on the concept of object-oriented programming fundamentals. And, will be valuable to you in a variety of Python app development circumstances.

For further explanation of Python development, I recommend that you consult or hire Python developers to design your next app.

C++

C-based languages are not object-oriented. However, it is possible to write object-oriented code in C, C++, and Object C. Here I am going to talk about C++ as an object-oriented programming language. C++ is a powerful high-level programming language that can interface with nearly every programming language. Programmers love C++ for its pointers that simplify code by creating “address” in the space where the coding data exists.

With all these features and capabilities C++ winning many hearts. However, let me make you clear that C++ major purpose was introducing the concept of OOP programming that includes concepts such as data binding, inheritance, and polymorphism, abstraction, and encapsulation. The OOP concept in C++ provides the ability to add real-world features in your application. You can also create Class and Objects as you want to use.

Here is an example of adding Classes and Objects:

//Class name is Automobile
class Automobile
{
//Data members
char name[20];
int speed;
int performance;

public:
//Functions
void brake(){
}
void slowDown(){
}
};

int main()
{
//honda is an object
Automobile honda; 
}

Here we have a class Automobile which has data members that are also called variables such as speed, performance, price, and functions such as slowDown(), brake(). Thus, with C++ OOP capabilities you can build programs using the classes, objects that save your development time and give you higher productivity.

Ruby

Ruby is a pure object-oriented programming language that works on objects. All values in Ruby are the objects. It makes more sense to call Ruby as an efficient and high-level programming language. Codes in Ruby are designed for developer’s happiness. On top of all this, Ruby is easy to use with its framework like Ruby on Rails that will allow you to develop web applications by leveraging the collection of pre-existing code. This means, instead of creating an entirely new application on Ruby from scratch level, you can use pre-existing codes to create what you want to code.

Let’s see how objects are created in Ruby:

class Bike def initialize(name, color) @name = name @color = color end
def get_info "Name: #{@name}, and Color: #{@color}" endend
my_bike = Bike.new("Apache", "Blue")puts my_bike.get_info

In the code above, we have a class named Bike with two methods initialize and get info. The best part here is that the variables in Ruby are not declared initially.

Further steps of coding in Ruby will include accessing data, class Methods and class variables, class inheritance, modules, and scope of constants. For more info and help on application development on Ruby, contact dedicated developers of the industry to work for you.

Summing Up

With all this information I am ending this post. Now knowing about these top object-oriented programming languages to follow in 2020 you can go deeper and learn more about them by building applications and software solutions. While deciding on the best object-oriented programming language, remember that you don’t invest time learning said materials. This way you’ll never make a decision. Find a reliable source of information or a service that can help you to work on the right programming language, and you’ll do just fine.

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