Scenarios

1. You try to load a big csv file into pandas in Python. It churns for a while and then crashes.

2. You go to build a new ML model on your data. You’d like to re-train the model once a day, but it turns out training this model takes 26 hours on your laptop.

3. You design an visualization Matplotlib , and create a whole bunch in a loop, you want to parallelize the operation. Right now you’re running on a t2.small with 1 CPU.