Using np.where, developers can optimize array operations by embedding conditional logic into a single line of code. This not only reduces complexity but also speeds up performance. From masking values to creating new datasets based on conditions, np.where is a cornerstone of Python’s data handling. https://docs.vultr.com/python/third-party/numpy/where