
11 In-Demand Backend Developer Skills You Should Master
Discover the essential backend developer skills: mastering programming languages, database management, API integration, security practices, DevOps, and more!
Choosing the right programming paradigm is one of the initial but highly important decisions in building any software program. Some developers embrace OOP, while others find POP easier to grasp.
Here comes the question: what is the difference between OOP and POP, and which approach should we use?
OOP is object-based; it revolves around objects and their respective interactions. It binds data together with the methods that operate on it. This characteristic allows complex applications to be structured in a way that improves code reuse, security, and scalability.
POP is nonetheless a step-wise method that breaks a program down into a series of procedures or functions. Thus, such programming methods are easy to follow and are rather efficient for smaller applications.
OOP functions as a programming method that keeps code arrangements inside objects. Real-world entities become objects that contain both data elements referred to as attributes as well as functions known as methods.
Rather than writing different procedures for different tasks, the related data and methods are grouped into objects, which makes code modular and much more easily managed.
Java, alongside C++, Python, and C# are the OOP programming languages. Codes written in OOP languages have features of encapsulation, inheritance polymorphism, and abstraction, which boost code maintainability and reuse capabilities.

POSTGRADUATE PROGRAM IN
Multi Cloud Architecture & DevOps
Master cloud architecture, DevOps practices, and automation to build scalable, resilient systems.
OOP stands on four fundamental pillars:
Each of these characteristics makes OOP a powerful choice for large, complex applications.
Encapsulation
Inheritance
Polymorphism
Abstraction
Code Reusability
With inheritance, we don’t have to write the same code multiple times. A single base class can serve multiple derived classes.
Data Security
Encapsulation ensures that critical data isn’t accessible from outside the object. For example, a banking system prevents direct access to a user’s balance.
Modularity and Maintainability
Breaking a program into objects makes it easier to debug, modify, and extend.
Scalability
OOP makes it easy to add new features without affecting existing functionality.
OOP is widely used in industries where software needs to be modular, secure, and scalable.
Banking and Finance
Game Development
E-commerce Platforms
Artificial Intelligence & Machine Learning

82.9%
of professionals don't believe their degree can help them get ahead at work.
The difference between OOP and POP is most noticeable in code organisation, security, and maintainability.
Encapsulation Provides Better Data Security
Code Reusability Saves Development Time
Easier Maintenance for Large Projects
Better Real-World Problem-Solving
Higher Memory Usage Due to Object Storage
Slower Execution Due to Dynamic Method Calls
More Complex for Beginners
Not Always Necessary for Small Programs
POP is a traditional programming approach where a program is divided into functions or procedures. These functions execute in a top-down order, following a structured sequence.
Instead of objects, data is shared globally between functions. While this makes the code simple, it also increases the risk of unintended modifications.
POP is still widely used in C, FORTRAN, and Pascal. It’s common in embedded systems, operating systems, and low-level programming, where efficiency is crucial.
The difference between OOP and POP lies in how they handle data, structure, and execution flow.
Here are the key characteristics that set POP apart from OOP.
Step-by-Step Execution with a Top-down Approach
Global Data Sharing Instead of Encapsulation
No Code Reusability Through Inheritance
Procedures Are Independent, Not Part of Objects
POP is widely used for small-scale applications, system programming, and situations where direct hardware access is required.
Despite the rise of OOP, POP remains relevant in various fields:
Embedded Systems and Firmware Development
Operating System Development
Scientific and Numerical Computing
Utility and Scripting Applications
POP is known for its efficiency and simplicity, but its limitations make it less suitable for modern large-scale applications.
Faster Execution for Simple Programs
Better for Low-Level System Programming
Lower Memory Consumption
Easier to Debug in Small Applications
No Data Security Due to Global Variable Access
Code Duplication Increases Development Time
Hard to Scale for Large Applications
Not Suitable for Object-Based Modelling
This table highlights the main difference between OOP and POP, making it easier to decide which approach suits a particular project.

| Feature | Object-Oriented Programming (OOP) | Procedure-Oriented Programming (POP) |
| Approach | Bottom-up (Objects first, then methods) | Top-down (Main function first, then sub-functions) |
| Code Reusability | High – Supports inheritance, polymorphism | Low – Functions must be rewritten for different use cases |
| Encapsulation | Supported – Data is protected within objects | Not supported – Global variables are accessible to all functions |
| Security | High – Encapsulation restricts data access | Low – Data is shared globally and can be modified anywhere |
| Scalability | Suitable for large applications | Hard to scale due to increasing function dependencies |
| Memory Usage | Higher – Objects and classes consume more memory | Lower – Functions execute directly without extra storage |
| Performance | Slower for small tasks due to object overhead | Faster for small programs since there is no object creation |
| Complexity | More complex due to objects, classes, and methods | Simpler – Functions execute sequentially |
| Modularity | High – Divides code into reusable objects | Low – Functions are not tied to reusable structures |
| Data Handling | Uses access specifiers (private, protected, public) | All functions share global data, increasing security risks |
| Error Handling | Better – Uses exception-handling mechanisms | Limited – Requires manual error-checking in functions |
| Suitable for | Large projects like banking apps, game development, web applications | System-level programming, embedded systems, operating systems |
| Parallel Development | Easier – Different teams can work on different classes | Harder – Modifying one function can affect the entire program |
| Abstraction | Supported – Hides complex implementation details | Not supported – Every function must be manually defined |
| Flexibility | High – Code can be modified without affecting other parts | Low – Changes in one function can impact the entire structure |
| Example Languages | Java, C++, Python, C# | C, FORTRAN, Pascal, Shell scripting |
The difference between OOP and POP lies in how they handle data, security, scalability, and performance. OOP follows a modular approach, focusing on objects and helping with code reuse and encapsulation. It is primarily used in building large applications like bank systems, game development, and web apps. Procedure-oriented programming runs step by step, making it faster and more efficient for system programming, embedded systems, and scientific computing.
OOP provides better security through encapsulation. On the other hand, POP users miss out on access controls, hence making it unsuitable for those applications which require data protection. The selection of OOP vs POP depends on the project’s need, performance requirements, and future scalability. An understanding of both paradigms helps make the right decisions for software development.
Mastering application development requires knowledge of both OOP and POP. The Certificate Program in Application Development by Hero Vired provides hands-on training in modern programming techniques. It imparts industry-relevant skills needed to build scalable and efficient applications. Explore the course now and take another step forward in your career.
Updated on March 6, 2025

Discover the essential backend developer skills: mastering programming languages, database management, API integration, security practices, DevOps, and more!

Explore top front end developer skills, including key technical and soft skills to become a front end developer. Know the salary insights and future opportunities.

Explore the best full stack project ideas for beginners and advanced levels. Build real-world projects to showcase your expertise. Learn project ideas for full stack development in 2025.

Understand the differences between Procedural and Object-Oriented Programming. Learn which to choose for your projects and why.

Discover the difference between Internet and WWW, their roles, and how they work together in the digital world.

Explore the difference between algorithm and flowchart, their advantages, practical uses, and how they simplify problem-solving in programming and beyond.

Stay future-ready with insights on the best technology to learn in 2025. Discover the latest trends and skills that will propel your career in the dynamic tech landscape.