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    NumCpp, Numpy for C++

    Suitable for Python programmers who want to use C++ but keep the way they do their projects

    NumCpp, Numpy for C++

    NumCpp is an implementation for C++ of the Numpy library of Python which is for work with multidimensional arrays widely used in Machine Learning .

    Installation

    In order to use NumCpp on your system it is necessary to clone and compile. Dependencies: CMake, Make and g++:

    git clone https://github.com/dpilger26/NumCpp
cd NumCpp
mkdir build && cd build
cmake ..
sudo cmake --build . --target install

    Testing and compiling a project

    When you are developing with the library you can compile with these procedures. Example of a dummy project: my-project:

    mkdir my-project
my-project cd

    Create a main.cpp file:

    vim main.cpp

    #include <NumCpp.hpp>

int main(){
  auto a = nc::random::randInt<int>({10, 10}, 0, 100);
  std::cout << a;
  return EXIT_SUCCESS;
}

    Create CMakeLists.txt

    vim CMakeLists.txt

    cmake_minimum_required(VERSION 3.14)
 
project("HelloWorld" CXX)
 
add_executable(${PROJECT_NAME} main.cpp)
 
find_package(NumCpp 2.6.2 REQUIRED)
target_link_libraries(${PROJECT_NAME}
    NumCpp::NumCpp
)

    Compile:

    mkdir build && cd build
cmake ..
cmake --build . --config Release
./HelloWorld

    For more information access:

    cpp cppdaily python

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