Python + JAX approach to the Project Euler problems, whenever parallelism makes sense.
This project is encapsuled in the gante_project_euler folder, which in turn contains two key sub-folders.
In solutions, the callable .py scripts that produce the response for each problem are present.
Their execution depends on the contents the math sub-folder, where the key operations are defined.
Installing JAX with GPU support may need extra steps. Check: https://github.com/google/jax#installation