Data preprocessing often requires conditional replacements, and np.where makes it simple. Instead of manually iterating through arrays, this function applies logic at scale. It is widely used for replacing missing values, encoding categories, or applying thresholds in machine learning pipelines. https://docs.vultr.com/python/third-party/numpy/where