Diving into OOPs_ Key Concepts and Principles (1).pdfkaushiklalit117
Object-oriented programming (OOPs) offers a powerful framework for building scalable and maintainable software applications. By understanding the key concepts and principles of OOPs, developers can design elegant, modular, and extensible code that stands the test of time. Whether you're a novice programmer or an experienced developer, embracing OOPs principles can elevate your coding skills and empower you to tackle complex software engineering challenges with confidence.
Introduction to Object Oriented Programming.pdfManishBej3
This document provides an overview of object-oriented programming concepts including encapsulation, inheritance, polymorphism, abstraction, objects, classes, and design patterns. It discusses the benefits of OOP such as code reuse, modularity, and collaboration. Key principles like encapsulating data within objects, creating class hierarchies through inheritance, and enabling polymorphism are explained. Best practices for OOP including following SOLID principles are also covered.
This document discusses various programming paradigms including procedural programming, object-based programming, and object-oriented programming. It provides details on key concepts of OOP like data abstraction, encapsulation, inheritance, and polymorphism. The document also lists advantages of OOP like reusability and ease of maintenance, as well as disadvantages like potential overgeneralization of classes.
What is OOP_ (Object Oriented Programming) (1).pptxhreempandya
Object oriented programming (OOP) is a programming model that organizes software around objects and classes rather than functions and logic. There are four main concepts in OOP: encapsulation, modularity, polymorphism, and inheritance. Encapsulation bundles data and methods into a single unit, modularity splits programs into independent and interchangeable modules, polymorphism allows objects to take on multiple forms, and inheritance allows classes to derive properties from parent classes. The shift from procedural to OOP allowed for more reusable, flexible, and maintainable code.
Features of Object Oriented Programming.pptxSwagatoBiswas
This document discusses the key features of object-oriented programming in Java, including classes, objects, inheritance, encapsulation, abstraction, and polymorphism. It provides examples of each concept: classes define templates for objects, objects are instances of classes with state and behavior, inheritance allows subclasses to inherit properties and behaviors from parent classes, encapsulation binds data and code together restricting access, abstraction hides implementation details and exposes only necessary information, and polymorphism allows treating objects of different classes as common superclasses. The document is written by Swagato Biswas for a course on object-oriented programming.
Object-oriented programming (OOP) is a programming model that organizes software around data (objects) rather than functions. The four pillars of OOP are encapsulation, abstraction, inheritance, and polymorphism. Encapsulation hides internal implementation details within classes, abstraction simplifies complexity for users, inheritance allows classes to inherit attributes from parent classes, and polymorphism enables classes to share behaviors. The advantages of OOP include code reusability through inheritance, increased productivity through modular pre-written code, simpler troubleshooting by isolating errors to specific classes, reinforced security, and design advantages for software engineering.
This document provides an overview of object oriented analysis and design using the Unified Modeling Language (UML). It discusses key concepts in object oriented programming like classes, objects, encapsulation, inheritance and polymorphism. It also outlines the software development lifecycle and phases like requirements analysis, design, coding, testing and maintenance. Finally, it introduces UML and explains how use case diagrams can be used to model the user view of a system by defining actors and use cases.
Explain the four core principles of OOP:
Encapsulation: Bundling data and methods that operate on the data into a single unit (class).
Inheritance: Creating new classes (derived classes) from existing ones (base classes).
Polymorphism: The ability of objects to take on multiple forms (e.g., method overriding and overloading).
Abstraction: Hiding complex implementation details and showing only the necessary features.
The document provides a checklist of topics for a code quality training agenda, including: TDD/automated tests, continuous delivery, refactoring, design patterns, emergent design, SOLID principles, SOA, paired programming, UML/object modeling, and miscellaneous code craftsmanship best practices. It notes that the list is not comprehensive and the goal is to help organizations determine which topics would be most valuable for their teams. Descriptions are provided for some of the highlighted topics.
If you're looking to land a technical job, then you already know that the interview process can be rigorous and challenging. That's why we've created an eBook that focuses on the Top 30 Technical Interview Questions that you're likely to face during the interview process.
Our eBook is a comprehensive guide that covers all the technical aspects of the interview, including software development, database administration, system administration, and much more. With each question, we've included a detailed explanation of the concept and a step-by-step solution to help you answer the question with confidence.
The Top 30 Technical Interview Questions eBook is perfect for anyone who is preparing for a technical interview. Whether you're a student, a recent graduate, or an experienced professional, our eBook will provide you with the knowledge and skills you need to succeed in your interview.
Comparison of OOP with Procedural and Functional Programminginfoguestbloging
Compare OOP with other programming paradigms:
Procedural Programming: Focuses on procedures or routines.
Functional Programming: Focuses on pure functions and immutability.
Highlight the strengths and weaknesses of each paradigm and where OOP excels.
Why It’s Great: This topic provides a broader perspective on programming paradigms and helps students understand when to use OOP.
Object oriented programming is a modular approach to programming that treats data and functions that operate on that data as objects. The basic elements of OOP are objects, classes, and inheritance. Objects contain both data and functions that operate on that data. Classes are templates that define common properties and relationships between objects. Inheritance allows new classes to acquire properties of existing classes. OOP provides advantages like modularity, code reuse, and data abstraction.
Exploring the Pillars of Object java.pdfKajal Digital
Object-oriented programming is a paradigm that revolves around organizing code into reusable, modular structures known as objects. Java takes this paradigm to heart, aligning its syntax and features with the four central principles of OOP: encapsulation, inheritance, abstraction, and polymorphism. These principles lay the foundation for creating maintainable, efficient, and scalable code.
This document provides an overview of object-oriented programming (OOP). It discusses the differences between structured and OOP, defining objects and their properties/actions. The four pillars of OOP are inheritance, encapsulation, polymorphism, and abstraction. OOP focuses on data and objects rather than functions/logic, and has advantages like code reusability and scalability.
The document discusses the basic concepts of object-oriented programming (OOP). It defines objects, classes, encapsulation, abstraction, inheritance, polymorphism, and message passing. Objects contain data and code to manipulate that data. A class defines a user-defined data type that acts as a blueprint for creating objects with common attributes and behaviors. Encapsulation wraps data and functions together, hiding data from direct access. Inheritance allows classes to inherit properties from other classes. Polymorphism allows operations to exhibit different behaviors based on the type of data used. Message passing facilitates communication between objects.
Introduction to C++ : Object Oriented Technology, Advantages of OOP, Input- output in
C++, Tokens, Keywords, Identifiers, Data Types C++, Derives data types. The void data
type, Type Modifiers, Typecasting, Constant
This document provides an overview of object-oriented programming (OOP) using C++. It defines key OOP concepts like classes, objects, abstraction, encapsulation, inheritance, and polymorphism. It notes that OOP improves software development productivity and maintainability by making code modular and reusable. OOP also allows for faster development and lower costs due to code reuse. However, OOP has disadvantages like a steep learning curve and producing slower programs in some cases. The document provides examples of where OOP is commonly applied, such as user interfaces, real-time systems, and artificial intelligence.
This document provides an introduction to object oriented programming (OOP). It defines key concepts in OOP like objects, classes, encapsulation, inheritance, and polymorphism. Objects are the basic runtime entities that can represent any item to be handled in a program. Classes are user-defined data types that contain data and code to manipulate that data. Encapsulation wraps data and functions into a single unit, while inheritance allows classes to inherit properties from other classes. Polymorphism allows operations to exhibit different behaviors depending on the data type. Benefits of OOP include code reuse, easier management of complexity, and better mapping to real world problems. Promising application areas for OOP include real-time systems, simulations, databases
Dependency Injection, Design Principles and PatternsJuan Lopez
This document provides an overview of dependency injection, including definitions, design principles and patterns. It defines dependency injection as a set of object-oriented principles and patterns that implement inversion of control and allow following the dependency inversion principle. The document discusses SOLID principles, design patterns like adapter and bridge that support loose coupling, and how dependency injection enables code that is extensible and maintainable through loose coupling.
An overview of object oriented programming , definitions of class and objects, Encapsulation, data abstraction, inheritance, polymorphism and an easy coding example in C++. This presentation includes visual aids to make the concepts easier to understand.
Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak
As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.
Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot
Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
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This document provides an overview of object oriented analysis and design using the Unified Modeling Language (UML). It discusses key concepts in object oriented programming like classes, objects, encapsulation, inheritance and polymorphism. It also outlines the software development lifecycle and phases like requirements analysis, design, coding, testing and maintenance. Finally, it introduces UML and explains how use case diagrams can be used to model the user view of a system by defining actors and use cases.
Explain the four core principles of OOP:
Encapsulation: Bundling data and methods that operate on the data into a single unit (class).
Inheritance: Creating new classes (derived classes) from existing ones (base classes).
Polymorphism: The ability of objects to take on multiple forms (e.g., method overriding and overloading).
Abstraction: Hiding complex implementation details and showing only the necessary features.
The document provides a checklist of topics for a code quality training agenda, including: TDD/automated tests, continuous delivery, refactoring, design patterns, emergent design, SOLID principles, SOA, paired programming, UML/object modeling, and miscellaneous code craftsmanship best practices. It notes that the list is not comprehensive and the goal is to help organizations determine which topics would be most valuable for their teams. Descriptions are provided for some of the highlighted topics.
If you're looking to land a technical job, then you already know that the interview process can be rigorous and challenging. That's why we've created an eBook that focuses on the Top 30 Technical Interview Questions that you're likely to face during the interview process.
Our eBook is a comprehensive guide that covers all the technical aspects of the interview, including software development, database administration, system administration, and much more. With each question, we've included a detailed explanation of the concept and a step-by-step solution to help you answer the question with confidence.
The Top 30 Technical Interview Questions eBook is perfect for anyone who is preparing for a technical interview. Whether you're a student, a recent graduate, or an experienced professional, our eBook will provide you with the knowledge and skills you need to succeed in your interview.
Comparison of OOP with Procedural and Functional Programminginfoguestbloging
Compare OOP with other programming paradigms:
Procedural Programming: Focuses on procedures or routines.
Functional Programming: Focuses on pure functions and immutability.
Highlight the strengths and weaknesses of each paradigm and where OOP excels.
Why It’s Great: This topic provides a broader perspective on programming paradigms and helps students understand when to use OOP.
Object oriented programming is a modular approach to programming that treats data and functions that operate on that data as objects. The basic elements of OOP are objects, classes, and inheritance. Objects contain both data and functions that operate on that data. Classes are templates that define common properties and relationships between objects. Inheritance allows new classes to acquire properties of existing classes. OOP provides advantages like modularity, code reuse, and data abstraction.
Exploring the Pillars of Object java.pdfKajal Digital
Object-oriented programming is a paradigm that revolves around organizing code into reusable, modular structures known as objects. Java takes this paradigm to heart, aligning its syntax and features with the four central principles of OOP: encapsulation, inheritance, abstraction, and polymorphism. These principles lay the foundation for creating maintainable, efficient, and scalable code.
This document provides an overview of object-oriented programming (OOP). It discusses the differences between structured and OOP, defining objects and their properties/actions. The four pillars of OOP are inheritance, encapsulation, polymorphism, and abstraction. OOP focuses on data and objects rather than functions/logic, and has advantages like code reusability and scalability.
The document discusses the basic concepts of object-oriented programming (OOP). It defines objects, classes, encapsulation, abstraction, inheritance, polymorphism, and message passing. Objects contain data and code to manipulate that data. A class defines a user-defined data type that acts as a blueprint for creating objects with common attributes and behaviors. Encapsulation wraps data and functions together, hiding data from direct access. Inheritance allows classes to inherit properties from other classes. Polymorphism allows operations to exhibit different behaviors based on the type of data used. Message passing facilitates communication between objects.
Introduction to C++ : Object Oriented Technology, Advantages of OOP, Input- output in
C++, Tokens, Keywords, Identifiers, Data Types C++, Derives data types. The void data
type, Type Modifiers, Typecasting, Constant
This document provides an overview of object-oriented programming (OOP) using C++. It defines key OOP concepts like classes, objects, abstraction, encapsulation, inheritance, and polymorphism. It notes that OOP improves software development productivity and maintainability by making code modular and reusable. OOP also allows for faster development and lower costs due to code reuse. However, OOP has disadvantages like a steep learning curve and producing slower programs in some cases. The document provides examples of where OOP is commonly applied, such as user interfaces, real-time systems, and artificial intelligence.
This document provides an introduction to object oriented programming (OOP). It defines key concepts in OOP like objects, classes, encapsulation, inheritance, and polymorphism. Objects are the basic runtime entities that can represent any item to be handled in a program. Classes are user-defined data types that contain data and code to manipulate that data. Encapsulation wraps data and functions into a single unit, while inheritance allows classes to inherit properties from other classes. Polymorphism allows operations to exhibit different behaviors depending on the data type. Benefits of OOP include code reuse, easier management of complexity, and better mapping to real world problems. Promising application areas for OOP include real-time systems, simulations, databases
Dependency Injection, Design Principles and PatternsJuan Lopez
This document provides an overview of dependency injection, including definitions, design principles and patterns. It defines dependency injection as a set of object-oriented principles and patterns that implement inversion of control and allow following the dependency inversion principle. The document discusses SOLID principles, design patterns like adapter and bridge that support loose coupling, and how dependency injection enables code that is extensible and maintainable through loose coupling.
An overview of object oriented programming , definitions of class and objects, Encapsulation, data abstraction, inheritance, polymorphism and an easy coding example in C++. This presentation includes visual aids to make the concepts easier to understand.
Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak
As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.
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Editing:
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Workflow:
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Connectivity:
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Organization:
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Procedural-vs-Object-Oriented-Programming (1).pdf
1. Procedural vs.
Object-Oriented
Programming
In the realm of software development, two prominent
programming paradigms dominate: procedural programming and
object-oriented programming (OOP). These paradigms offer
distinct approaches to structuring and organizing code, each with
its own set of advantages and disadvantages. Procedural
programming focuses on a sequence of instructions, while OOP
centers around objects that encapsulate both data and behavior.
Understanding the differences between these paradigms is
crucial for choosing the most suitable approach for a given
software project.
2. Procedural vs. Object-Oriented
Programming
Procedural Programming Object-Oriented Programming
Focuses on a sequence of instructions Centers around objects that encapsulate
data and behavior
Divided into functions or subroutines that
perform specific tasks
Revolves around the creation of objects,
which are instances of classes
Linear flow of execution
Follows the key principles of
encapsulation, abstraction, inheritance,
and polymorphism
Less modular and scalable approach More modular and scalable approach,
suitable for complex and large-scale
projects
3. Characteristics of OOP:
Encapsulation
Encapsulation is a fundamental principle in OOP that involves bundling data and methods
(functions) that operate on that data into a single unit called a class. This creates a
protective barrier around the data, shielding it from direct access from outside the class.
Encapsulation ensures that data can only be modified through the defined methods,
promoting data integrity and preventing accidental or unauthorized modifications. This
approach enhances code organization and maintainability, as changes to data are isolated
within the class, minimizing potential side effects on other parts of the program.
Data Protection
Encapsulation protects
data by limiting access
and controlling how it is
modified, safeguarding
against unintended
errors and
inconsistencies.
Code Organization
By grouping related
data and methods,
encapsulation promotes
a well-structured
codebase, enhancing
readability and
maintainability.
Modularity
Encapsulation allows
classes to be treated as
self-contained units,
facilitating independent
development, testing,
and reuse of code
components.
4. Abstraction
Abstraction is another core principle of OOP that simplifies complex systems by focusing on
essential features while hiding unnecessary details. Think of it as a blueprint or a simplified
representation of a real-world object. It defines the interface or the "public face" of an object,
specifying what actions can be performed on it, without revealing the intricate implementation
details. This allows developers to interact with objects at a higher level of abstraction, reducing
complexity and improving code readability.
1 Simplifying
Complexity
Abstraction hides
unnecessary details,
presenting a simplified
view of the object and
making it easier to
understand and work
with.
2 Flexibility and
Maintainability
By separating
implementation details
from the interface,
abstraction allows
changes to the
underlying
implementation without
affecting code that uses
the object.
3 Code Reusability
Abstraction promotes
code reusability by
providing a common
interface for interacting
with different
implementations of the
same concept.
5. Inheritance
Inheritance is a powerful mechanism in OOP that allows new classes (child classes)
to inherit properties and behaviors from existing classes (parent classes). This creates
a hierarchical relationship between classes, enabling code reuse and promoting a
structured organization. The child class can extend the parent class by adding new
properties and methods or overriding existing ones to customize behavior. Inheritance
promotes a "don't repeat yourself" (DRY) principle, reducing code redundancy and
enhancing maintainability.
Code Reuse
Inheritance allows you to reuse existing code from parent classes, saving
time and effort and reducing the risk of errors.
Hierarchical Structure
Inheritance creates a clear hierarchical structure between classes,
reflecting real-world relationships and promoting a well-organized
codebase.
Polymorphism
Inheritance lays the foundation for polymorphism, allowing objects of
different classes to be treated in a uniform way through a common
interface.
6. Polymorphism
Polymorphism, derived from the Greek words "poly" (many) and "morph" (form), is a core concept in OOP
that allows objects of different classes to be treated in a uniform way through a common interface. It
enables you to write code that can operate on objects of different types, making the code more flexible
and reusable. This is achieved through method overriding, where child classes provide their own
implementations of methods inherited from the parent class, while maintaining the same method
signature. Polymorphism eliminates the need for repetitive code and enhances the flexibility of your
programs.
Method Overriding
Child classes can override
methods inherited from the
parent class, providing their
own implementation while
maintaining the same method
signature.
Flexibility and
Reusability
Polymorphism allows you to
write code that can work with
objects of different types,
promoting flexibility and
reusability.
Dynamic Binding
The actual method that is
executed is determined at
runtime based on the type of
the object, allowing for
dynamic behavior and
adaptation.
7. Data Hiding
Data hiding is a mechanism in OOP that restricts access to data members of a class from outside the
class. This is achieved through access modifiers, such as private, protected, and public. Private members
are only accessible within the class itself, while protected members can be accessed within the class and
its subclasses. Public members are accessible from anywhere. By hiding data, you protect its integrity
and prevent accidental or unauthorized modifications. This principle enhances data security and reduces
the risk of errors.
Access Modifier Accessibility
Private Accessible only within the class
Protected Accessible within the class and its subclasses
Public Accessible from anywhere
8. Code Reusability
Code reusability is a key benefit of OOP that promotes efficiency and reduces development time. Through
inheritance, polymorphism, and encapsulation, OOP allows you to reuse existing code components in
different parts of the program or in different projects. This eliminates the need to rewrite the same code
repeatedly, reducing errors and improving maintainability. By leveraging code reusability, you can build
more complex systems quickly and effectively, focusing on unique features rather than redundant code.
Reduced Development
Time
Reusing existing code saves
time and effort, allowing
developers to focus on building
new features rather than
rewriting code.
Reduced Errors
By reusing tested code, you
reduce the likelihood of
introducing new bugs and
errors into your program.
Improved Collaboration
Code reusability promotes
collaboration by enabling
developers to share and reuse
code components across
projects.