C++ Language Curriculum

History of C++ Language

1979: Created at Bell Labs by Bjarne Stroustrup, USA.
Purpose: To extend C with object-oriented programming features.
Evolution: Began as “C with Classes,” renamed C++ in 1983.
1985: First edition of “The C++ Programming Language” published.
1990: C++ 2.0 added inheritance, abstract classes, and members.
1998: ISO standardized C++ as C++98 for global consistency.
2011–2020: Modern versions added lambdas, smart pointers, and more.
Legacy: C++ shaped Java, C#, Rust, and advanced system software.
Current use: Used in OS, games, finance, AI, and real-time systems.

  • C++ Introduction
  • C++ Syntax
  • C++ Get Started
  • C++ Output
  • C++ Comments
  • C++ Variables
  • C++ Data Types
  • C++ Operators
  • C++ Strings
  • C++ Math
  • C++ Booleans
  • C++ If...Else
  • C++ Switch
  • C++ Loops
  • C++ Break/Continue
  • C++ Arrays
  • C++ Enums
  • C++ References
  • C++ Memory Management
  • C++ Pointer
  • C++ Functions
  • C++ Structures
  • C++ Dates
  • C++ Files
  • C++ Errors
  • C++ Namespaces
  • C++ Projects
  • C++ programs (100+)

C++ Classes

Object-oriented Programming

  • C++ OOP
  • C++ Classes/Objects
  • C++ Class Methods
  • C++ Constructors
  • C++ Access Specifiers
  • C++ Encapsulation
  • C++ Friend Functions
  • C++ Inheritance
  • C++ Polymorphism
  • C++ Templates

C++ Data Structures

Standard Template Libraryamming(STL)

  • C++ Data Structures and STL
  • C++ Vectors
  • C++ List
  • C++ Stacks
  • C++ Queues
  • C++ Deque
  • C++ Sets
  • C++ Maps
  • C++ Iterator
  • C++ Algorithm

Why Learn C++?

C++ is fast, powerful, and versatile. It combines the efficiency of C with object-oriented features, making it ideal for system programming, game development, real-time applications, and competitive coding. Learning C++ builds strong problem-solving skills and opens doors to advanced programming careers.

Why Learn C++ with Data Structures?

Learning C++ with Data Structures is important because it strengthens both programming fundamentals and problem-solving skills. C++ offers low-level control over memory, which helps in understanding how data structures like arrays, linked lists, stacks, queues, trees, and graphs work at their core. It is widely used in competitive programming due to its speed and the power of the Standard Template Library (STL). Mastering data structures in C++ not only prepares you for advanced concepts like algorithms, operating systems, and databases but also makes you industry-ready for careers in system programming, software development, and high-performance applications. In short, combining C++ with data structures builds a solid foundation for becoming an efficient and versatile programmer.

Future Scope After Learning C++

After learning C++, you can build a strong career in software development, game programming, and system design. C++ is widely used in operating systems, browsers, databases, and high-performance applications, making it highly relevant in today’s tech world. With C++, you can advance into fields like competitive programming, AI & machine learning (via libraries), real-time simulations, cybersecurity, financial systems, and embedded systems. Its demand in game engines, robotics, and large-scale applications ensures long-term career opportunities.