Python Bindings
Python bindings are interfaces that allow Python code to call and interact with libraries or components written in other programming languages, such as C, C++, or Fortran. They enable developers to leverage high-performance, low-level code from within Python, combining Python's ease of use with the speed and capabilities of native languages. Common tools for creating Python bindings include Cython, ctypes, and SWIG.
Developers should learn Python bindings when they need to integrate existing C/C++ libraries into Python applications for performance-critical tasks, such as numerical computing, system-level operations, or using legacy code. They are essential in fields like data science (e.g., using NumPy or TensorFlow, which rely on C backends), game development, and embedded systems, where Python's flexibility is paired with the efficiency of compiled languages.