Question

Select correct statements about interfacing other languages from python? Multiple options can be selected. 1. Cpython ctypes library supports loading and interfacing with dynamic libraries,such as DLLs or shared objects at runtime 2. Boost.Python provides almost the same features of SWIG 3. SWIG is used to interface with interpreted languages 4. CFFI provides a mechanism for interfacing with C from both PyPy.

Answer 1

Answer:

Modules written in C++ (or C) are commonly used to extend the capabilities of a Python interpreter as well as to enable access to low-level operating system capabilities. There are three primary types of modules:

Accelerator modules: because Python is an interpreted language, certain pieces of code can be written in C++ for higher performance.

Wrapper modules: expose existing C/C++ interfaces to Python code or expose a more "Pythonic" API that's easy to use from Python.

Low-level system access modules: created to access lower-level features of the CPython runtime, the operating system, or the underlying hardware.

This article walks through building a C++ extension module for CPython that computes a hyperbolic tangent and calls it from Python code. The routine is implemented first in Python to demonstrate the relative performance gain of implementing the same routine in C++.