A C++17 library for reading and writing NumPy .npy files, with optional .npz (zip) archive support NpyArray : A container that stores the loaded array’s shape, word size, fortran order, and data in memory.Load & Save : syNumpy::loadNpy(...) reads from a file.syNumpy::loadNpyBuffer(...) reads from a raw memory buffer.syNumpy::saveNpy(...) writes or appends data. Append Mode : Save with mode = "a" to extend the first dimension of an existing file (if shapes match).Endian Checks : Warn if the file is big-endian while the system is little-endian (or vice versa). No auto-swapping.Optional NPZ : -DSYNUMPY_ENABLE_NPZ=1 enables zip-based .npz archiving (requires zlib ). Minimal example included. Include syNumpy.hpp in your C++17 project.Compile with -std=c++17.(Optional) Define SYNUMPY_ENABLE_NPZ=1 and link zlib (-lz) for .npz archiving. #include " syNumpy.hpp" include < iostream> int main () { // 1) Save a float arrayfloat > data = {1 .0f , 2 .0f , 3 .0f }; syNumpy::saveNpy (" floats.npy" // overwrites if file exists// 2) Load it backsyNumpy::loadNpy (" floats.npy" float > loaded = arr.asVector <float >(); std::cout << " Loaded " size () << " floats: " for (auto f : loaded) std::cout << f << " " " \n " if SYNUMPY_ENABLE_NPZ // 3) Create a .npz archive with multiple arraysint > arr1 = {10 , 20 , 30 }; std::vector<double > arr2 = {3.14 , 2.71 }; zip.addArray (" ints" addArray (" doubles" save (" arrays.npz" endif return 0 ; } 