NumPy Exercises for Data Analysis in Python
One thing that is holding me back in numpy is not knowing the runtime complexity of operations—of course I can profile code, but I should have better awareness when writing code in the first place. Without an algorithms background, I don't have strong intuitions on the runtime complexity of the primitives (np.unique). Any suggestions?