TensorFlow and NumPy are both great libraries for scientific computing, data analysis, and machine learning. But they have different strengths. NumPy is a Python library for fast array operations. It has a C-like syntax and efficient algorithms for manipulating arrays of numbers. NumPy is optimized for running on CPUs, so it's not as fast as TensorFlow when executing code on GPUs or certain kinds of hardware accelerators. But NumPy can be used with any Python software environment, while TensorFlow requires either Python 2 or 3. TensorFlow is a newer...