Handling missing or invalid data? numpy.where allows you to quickly substitute values based on conditions. Learn how to manage NaNs, outliers, and other special cases by applying conditional logic across NumPy arrays using this efficient method. https://docs.vultr.com/python/third-party/numpy/where