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Khamisi Kibet

Khamisi Kibet

Software Developer

I am a computer scientist, software developer, and YouTuber, as well as the developer of this website, spinncode.com. I create content to help others learn and grow in the field of software development.

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    infor@spinncode.com
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    Nairobi, Kenya
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7 Months ago | 50 views

**Course Title:** Modern C++ Programming: Mastering C++ with Best Practices and Advanced Techniques **Section Title:** Testing, Debugging, and Profiling **Topic:** Write unit tests for your C++ code and use a debugging tool to track down and fix a memory issue.(Lab topic) **Objective:** In this lab, you will learn how to write unit tests for your C++ code using the Google Test framework and how to use the Valgrind debugging tool to track down and fix a memory issue. **Introduction to Unit Testing with Google Test:** Google Test is a popular testing framework for C++ that allows you to write unit tests for your code. To use Google Test, you need to include the `gtest/gtest.h` header file in your test files. **Example: Writing a Unit Test with Google Test** ```cpp // my_math.h #ifndef MY_MATH_H #define MY_MATH_H int add(int a, int b); #endif // MY_MATH_H ``` ```cpp // my_math.cpp #include "my_math.h" int add(int a, int b) { return a + b; } ``` ```cpp // my_math_test.cpp #include "gtest/gtest.h" #include "my_math.h" TEST(MathTest, Add) { EXPECT_EQ(add(1, 2), 3); EXPECT_EQ(add(-1, 1), 0); EXPECT_EQ(add(-1, -1), -2); } int main(int argc, char **argv) { ::testing::InitGoogleTest(&argc, argv); return RUN_ALL_TESTS(); } ``` **Compiling and Running the Test** To compile and run the test, you need to compile the `my_math.cpp` file and the `my_math_test.cpp` file using the following commands: ```bash g++ -c my_math.cpp -o my_math.o g++ -c my_math_test.cpp -o my_math_test.o -I/path/to/gtest/include g++ my_math.o my_math_test.o -o my_math_test -L/path/to/gtest/lib -l/gtest ./my_math_test ``` **Introduction to Valgrind:** Valgrind is a debugging tool that allows you to detect memory errors in your C++ code. To use Valgrind, you need to compile your code with debugging information enabled using the `-g` flag. **Example: Using Valgrind to Detect a Memory Error** ```cpp // my_program.cpp #include <iostream> int main() { int* x = new int; *x = 5; std::cout << *x << std::endl; // Delete the memory, but using delete[] will cause a memory error delete x; return 0; } ``` **Compiling and Running Valgrind** To compile and run Valgrind, you need to compile the `my_program.cpp` file with debugging information enabled using the following commands: ```bash g++ -g my_program.cpp -o my_program valgrind --leak-check=full ./my_program ``` **Fixing the Memory Error** To fix the memory error, you need to use the `delete[]` operator instead of the `delete` operator to delete the memory. ```cpp // my_program.cpp (fixed) #include <iostream> int main() { int* x = new int; *x = 5; std::cout << *x << std::endl; delete[] x; return 0; } ``` **Conclusion** In this lab, you learned how to write unit tests for your C++ code using the Google Test framework and how to use the Valgrind debugging tool to track down and fix a memory issue. You also learned how to compile and run your code with debugging information enabled using the `-g` flag. **Additional Resources** * Google Test Documentation: [https://github.com/google/googletest](https://github.com/google/googletest) * Valgrind Documentation: [https://valgrind.org/docs/manual/index.html](https://valgrind.org/docs/manual/index.html) **Questions and Help** If you have any questions or need help with this lab, feel free to ask. There will not be a discussion board for this topic. Please leave a comment below if you need assistance. Next topic: Introduction to C++20 features: Modules, coroutines, and concepts.
Course
C++
OOP
Templates
Multithreading
C++20

Testing, Debugging, and Profiling in C++.

**Course Title:** Modern C++ Programming: Mastering C++ with Best Practices and Advanced Techniques **Section Title:** Testing, Debugging, and Profiling **Topic:** Write unit tests for your C++ code and use a debugging tool to track down and fix a memory issue.(Lab topic) **Objective:** In this lab, you will learn how to write unit tests for your C++ code using the Google Test framework and how to use the Valgrind debugging tool to track down and fix a memory issue. **Introduction to Unit Testing with Google Test:** Google Test is a popular testing framework for C++ that allows you to write unit tests for your code. To use Google Test, you need to include the `gtest/gtest.h` header file in your test files. **Example: Writing a Unit Test with Google Test** ```cpp // my_math.h #ifndef MY_MATH_H #define MY_MATH_H int add(int a, int b); #endif // MY_MATH_H ``` ```cpp // my_math.cpp #include "my_math.h" int add(int a, int b) { return a + b; } ``` ```cpp // my_math_test.cpp #include "gtest/gtest.h" #include "my_math.h" TEST(MathTest, Add) { EXPECT_EQ(add(1, 2), 3); EXPECT_EQ(add(-1, 1), 0); EXPECT_EQ(add(-1, -1), -2); } int main(int argc, char **argv) { ::testing::InitGoogleTest(&argc, argv); return RUN_ALL_TESTS(); } ``` **Compiling and Running the Test** To compile and run the test, you need to compile the `my_math.cpp` file and the `my_math_test.cpp` file using the following commands: ```bash g++ -c my_math.cpp -o my_math.o g++ -c my_math_test.cpp -o my_math_test.o -I/path/to/gtest/include g++ my_math.o my_math_test.o -o my_math_test -L/path/to/gtest/lib -l/gtest ./my_math_test ``` **Introduction to Valgrind:** Valgrind is a debugging tool that allows you to detect memory errors in your C++ code. To use Valgrind, you need to compile your code with debugging information enabled using the `-g` flag. **Example: Using Valgrind to Detect a Memory Error** ```cpp // my_program.cpp #include <iostream> int main() { int* x = new int; *x = 5; std::cout << *x << std::endl; // Delete the memory, but using delete[] will cause a memory error delete x; return 0; } ``` **Compiling and Running Valgrind** To compile and run Valgrind, you need to compile the `my_program.cpp` file with debugging information enabled using the following commands: ```bash g++ -g my_program.cpp -o my_program valgrind --leak-check=full ./my_program ``` **Fixing the Memory Error** To fix the memory error, you need to use the `delete[]` operator instead of the `delete` operator to delete the memory. ```cpp // my_program.cpp (fixed) #include <iostream> int main() { int* x = new int; *x = 5; std::cout << *x << std::endl; delete[] x; return 0; } ``` **Conclusion** In this lab, you learned how to write unit tests for your C++ code using the Google Test framework and how to use the Valgrind debugging tool to track down and fix a memory issue. You also learned how to compile and run your code with debugging information enabled using the `-g` flag. **Additional Resources** * Google Test Documentation: [https://github.com/google/googletest](https://github.com/google/googletest) * Valgrind Documentation: [https://valgrind.org/docs/manual/index.html](https://valgrind.org/docs/manual/index.html) **Questions and Help** If you have any questions or need help with this lab, feel free to ask. There will not be a discussion board for this topic. Please leave a comment below if you need assistance. Next topic: Introduction to C++20 features: Modules, coroutines, and concepts.

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Modern C++ Programming: Mastering C++ with Best Practices and Advanced Techniques

Course

Objectives

  • Understand and master core C++ concepts along with the latest C++20/23 features.
  • Write efficient, maintainable, and scalable C++ code using best practices.
  • Learn advanced object-oriented programming (OOP), templates, and metaprogramming in C++.
  • Gain hands-on experience with multithreading, memory management, and performance optimization.
  • Work with popular C++ libraries and understand modern tooling for debugging, testing, and version control.

Introduction to C++ and Environment Setup

  • Overview of C++: History, evolution, and use cases.
  • Setting up a development environment (IDE: Visual Studio, CLion, or VSCode).
  • Compiling, linking, and running C++ programs.
  • Basic syntax: Variables, data types, operators, and control structures.
  • Lab: Install and set up a C++ IDE, write and compile your first C++ program.

Data Structures and Algorithms in C++

  • Built-in data types and structures (arrays, strings, pointers).
  • STL containers: `std::vector`, `std::array`, `std::list`, and `std::map`.
  • STL algorithms: Sorting, searching, and manipulating containers.
  • Introduction to C++20 ranges and views for modern iteration.
  • Lab: Solve real-world problems using STL containers and algorithms.

Functions and Modular Programming

  • Defining and calling functions: Return types, parameters, and overloading.
  • Pass-by-value vs pass-by-reference, and `const` correctness.
  • Lambda expressions in modern C++.
  • Understanding inline functions and the `constexpr` keyword.
  • Lab: Write modular code using functions, with an emphasis on lambda expressions and constexpr.

Object-Oriented Programming (OOP) in C++

  • Understanding classes and objects in C++.
  • Constructors, destructors, and copy constructors.
  • Inheritance, polymorphism, virtual functions, and abstract classes.
  • The Rule of Three/Five/Zero and smart pointers (`std::unique_ptr`, `std::shared_ptr`).
  • Lab: Design a class-based system implementing inheritance and smart pointers.

Templates and Generic Programming

  • Understanding templates: Function and class templates.
  • Template specialization and overloading.
  • Variadic templates and fold expressions in C++17/20.
  • Concepts in C++20: Constraining templates with concepts.
  • Lab: Implement a generic data structure using templates and C++20 concepts.

Memory Management and Resource Management

  • Understanding dynamic memory allocation (`new`, `delete`, `malloc`, `free`).
  • RAII (Resource Acquisition Is Initialization) and smart pointers for resource management.
  • Memory leaks, dangling pointers, and best practices for avoiding them.
  • Modern memory management techniques using `std::unique_ptr`, `std::shared_ptr`, and `std::weak_ptr`.
  • Lab: Write a C++ program managing dynamic memory efficiently using RAII and smart pointers.

Multithreading and Concurrency

  • Introduction to multithreading in C++ with the `<thread>` library.
  • Synchronization primitives: Mutexes, condition variables, and locks.
  • Understanding deadlocks, race conditions, and strategies to avoid them.
  • Futures, promises, and asynchronous programming in C++17/20.
  • Lab: Implement a multithreaded program using mutexes and condition variables, and solve concurrency issues.

File I/O and Serialization

  • File input/output in C++: Working with file streams (`std::ifstream`, `std::ofstream`).
  • Reading and writing binary data to files.
  • Text and binary serialization techniques.
  • Using third-party libraries for serialization (e.g., Boost.Serialization).
  • Lab: Write a C++ program that reads from and writes to files, using both text and binary formats.

Error Handling and Exceptions

  • Introduction to exception handling: `try`, `catch`, `throw`.
  • Best practices for writing exception-safe code.
  • Modern alternatives: `std::optional`, `std::variant`, and `std::expected` in C++17/20.
  • Handling resources in exception handling: RAII revisited.
  • Lab: Develop a C++ program that gracefully handles errors and exceptions.

Testing, Debugging, and Profiling

  • Unit testing in C++: Introduction to testing frameworks (Google Test, Catch2).
  • Mocking and test-driven development (TDD).
  • Debugging tools: GDB, Valgrind, and sanitizers (address, thread, and memory).
  • Performance profiling using `gprof` and modern tools (perf, VTune).
  • Lab: Write unit tests for your C++ code and use a debugging tool to track down and fix a memory issue.

Advanced C++ Features: C++20 and Beyond

  • Introduction to C++20 features: Modules, coroutines, and concepts.
  • Coroutines in modern C++: Asynchronous programming and generators.
  • Using C++20 ranges for cleaner, more expressive code.
  • Modules in C++20: Breaking the limits of traditional header files.
  • Lab: Refactor existing code to utilize C++20 features like coroutines and ranges.

C++ Libraries and Real-World Applications

  • Overview of popular C++ libraries: Boost, Qt, and others.
  • Building and integrating third-party libraries into your project.
  • Cross-platform development with CMake and other build systems.
  • Modern deployment techniques: Docker, cloud platforms, and CI/CD pipelines.
  • Lab: Build a small C++ project using CMake and deploy it using Docker.

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