 | Python loops over arrays are extremely slow |
| NumPy vectorization may be sufficient |
| However, NumPy vectorization may be inconvenient - plain loops in Fortran/C/C++ are much easier |
| Write administering code in Python |
| Identify bottlenecks (via profiling) |
| Migrate slow Python code to Fortran, C, or C++ |
| Python-Fortran w/NumPy arrays via F2PY: easy |
| Python-C/C++ w/NumPy arrays via SWIG: not that easy, handwritten wrapper code is most common |
