Think Different

  Integrating C/C++ libraries into Python applications can be beneficial in various scenarios: 1. Performance Optimization:    - C/C++ code often executes faster than Python due to its lower-level nature.    - Critical sections of code that require high performance, such as numerical computations or data processing, can be implemented in C/C++ for improved speed. 2. Existing Libraries:    - Reuse existing C/C++ libraries that are well-established, optimized, and tested.    - Many powerful and specialized libraries in fields like scientific computing, machine learning, or image processing are originally written in C/C++. Integrating them into Python allows you to leverage their functionality without rewriting everything in Python. 3. Legacy Code Integration:    - If you have legacy C/C++ code that is still valuable, integrating it into a Python application allows you to modernize your software while preserving existing functionality...