Why Object-Oriented Programming

Organising code around things, not steps

In procedural programming, a program is a sequence of procedures (functions) operating on data structures that are passed around; any function can read or change any data. That works well for small programs, but as systems grow, it becomes hard to know which functions depend on which data, and a change to a data structure ripples everywhere. Object-oriented programming (OOP) organises code around objects that bundle data (state) with the operations (behaviour) allowed on that data. An Account object holds its balance and offers deposit and withdraw; other code cannot set the balance directly. OOP is traditionally described by four pillars: encapsulation (hide internal state behind a public interface), abstraction (expose what an object does, not how), inheritance (reuse and specialise behaviour from a parent type) and polymorphism (one interface, many implementations). Java, C++, C#, Python, Kotlin and Swift are all object-oriented, though each mixes in other styles too.

Data and behaviour together

Procedural code keeps data and functions apart; objects bundle them behind an interface.

The same idea in two styles

In the object version, only Account's own methods can change its balance.

// procedural style: data and functions are separate
class AccountData { double balance; }

class Banking {
    static void withdraw(AccountData a, double amount) {
        a.balance -= amount;                 // any code could also do a.balance = -1000
    }
}

// object-oriented style: data and behaviour together, state protected
class Account {
    private double balance;

    public void deposit(double amount) {
        if (amount <= 0) throw new IllegalArgumentException("amount must be positive");
        balance += amount;
    }

    public void withdraw(double amount) {
        if (amount <= 0 || amount > balance) throw new IllegalArgumentException("invalid amount");
        balance -= amount;
    }

    public double getBalance() { return balance; }
}

OOP is a tool, not a religion

Modern code mixes OOP with functional techniques: immutable values, pure functions and lambdas. Use objects where state and behaviour belong together, and plain functions where they do not.

त्वरित जाँच: Which list names the four commonly cited pillars of OOP?

• Encapsulation, abstraction, inheritance, polymorphism
• Variables, loops, functions, arrays
• Compilation, linking, loading, execution
• Classes, files, packages, modules