Bringing the power, stability and functional capabilities of C++ to Python. This is just a get your hands dirty approach and should be useful for any developer who is interested in C++ and Python.
The following algorithms are offered to Python:
- std::count<int, float, string, time_point>
The functions expect array/list values not being nan. When using pandas dataframes for instance do a DataFrame[<column_name>].dropna() to get rid of optional values. Optional values are supported with C++17, I did not implemented any backport for C++11. The offered C++ modules are compiled with language features of C++11.
For building python modules from C++ the awesome pybind11 library is used. The build system relies on CMake. During configure each C++ module copies the compiled libraries into the test folder. The test folder contains the unit tests which are only based on Python.
Contributions are welcome from anyone and everyone. Please see our guidelines.