There are many ways using which developers get updates from Python. Some use the ‘knockknock’ library, some use the ‘wandb’ package to track the progress and generate report, and so on. However, I recently found this nifty way of sending myself updates when, let us say, my machine/deep learning model has finished training or when my single-core-utilizing-python-code has finished executing which was taking an awful amount of time to do multiple simple lookups across a very large knowledge base (“been there, phew!