https://github.com/ivangrana/object-oriented-programming-cpp
object oriented programming concepts with C++
https://github.com/ivangrana/object-oriented-programming-cpp
cpp object-oriented-programming
Last synced: 9 days ago
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object oriented programming concepts with C++
- Host: GitHub
- URL: https://github.com/ivangrana/object-oriented-programming-cpp
- Owner: ivangrana
- Created: 2022-05-24T21:06:22.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2025-09-10T14:16:02.000Z (10 months ago)
- Last Synced: 2025-09-10T17:58:18.492Z (10 months ago)
- Topics: cpp, object-oriented-programming
- Language: C++
- Homepage:
- Size: 36.1 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# 1. Introduction to Programming:
Familiarize yourself with basic programming concepts like variables, data types, control structures (if-else, loops), and functions.
# 2. Basics of C++:
Get acquainted with C++ syntax, input/output operations, and fundamental programming constructs.
# 3. Functions and Scope:
Learn about function declaration, definition, and calling.
Understand function scope, local and global variables.
# 4. Object-Oriented Programming Concepts:
Understand the core OOP concepts: classes, objects, encapsulation, inheritance, and polymorphism.
Grasp the concept of data abstraction and separation of interface from implementation.
# 5. Classes and Objects:
Study how to create classes and objects in C++.
Explore member variables, member functions, constructors, and destructors.
# 6. Encapsulation:
Learn about access specifiers (public, private, protected) and how they control class member visibility.
Understand the concept of information hiding and encapsulation.
# 7. Constructors and Destructors:
Explore different types of constructors (default, parameterized, copy).
Understand the purpose of destructors and their role in resource management.
# 8. Inheritance:
Learn about creating a hierarchy of classes using inheritance.
Understand base and derived classes, and how to access base class members from derived classes.
# 9. Polymorphism:
Study runtime polymorphism using virtual functions and the concept of dynamic binding.
Understand the use of the virtual keyword and the override specifier.
# 10. Abstract Classes and Interfaces:
Learn about abstract classes and pure virtual functions.
Understand how to create interfaces in C++.
# 11. Operator Overloading:
Explore how to overload operators to work with user-defined types.
Learn about operator overloading syntax and best practices.
# 12. Templates:
Understand how to create generic classes and functions using templates.
Learn about function templates and class templates.
# 13. Standard Template Library (STL):
Familiarize yourself with the STL containers (vector, list, map, etc.) and algorithms.
Learn how to use iterators to traverse containers.
# 14. Smart Pointers:
Study smart pointers (unique_ptr, shared_ptr, weak_ptr) for better memory management.
# 15. Exception Handling:
Learn about handling exceptions using try-catch blocks.
Understand the concept of exception propagation and creating custom exceptions.
# 16. Design Patterns (Optional, but recommended):
Study common design patterns such as Singleton, Factory, Observer, etc.
Understand their application in designing robust and maintainable systems.
# 17. Projects and Practice:
Apply what you've learned by working on small to medium-sized projects.
Practice coding, debugging, and problem-solving regularly.
# 18. Advanced C++ Concepts:
This directory contains code examples for advanced C++ concepts, suitable for experienced C++ developers.
- **SmartPointers.cpp:** Demonstrates the use of `std::unique_ptr`, `std::shared_ptr`, and `std::weak_ptr` for modern memory management.
- **Concurrency.cpp:** Shows a basic example of multithreading using `std::thread` and data synchronization with `std::mutex`.
- **MoveSemantics.cpp:** Implements a class with a move constructor and move assignment operator to illustrate how to efficiently transfer resources.
- **LambdaExpressions.cpp:** Provides examples of using lambda expressions with STL algorithms.