Writing optimized code is crucial for performance, and np.where helps achieve it. It handles conditional checks and assignments in bulk, avoiding slow Python loops. For large datasets in analytics or AI, np.where ensures minimal overhead and maximum efficiency in array processing. https://docs.vultr.com/python/third-party/numpy/where