As a few other people have mentioned, I find R to be the easiest tool for this job, specifically the forecast package [0]. I had to use this package for an applied econometrics course in college a few years ago, and I have been using it ever since. I find the syntax to be more straightforward than comparable libraries in Python. I also assume that this library (and other libraries in R) offer higher quality models and results than their counterparts in Python, but this is just an assumption.
McMaster-Carr is your friend here. I used it use it a lot for robotics club in high school. It has a clear interface that makes it easy to find the exact parts you need
Does this not imply that they are satisfied with their work for largely social, extrinsic reasons (as opposed to intrinsic ones)? Cal seems to argue that people can only be most satisfied if they are better than everyone else at some niche task. I wonder how this is any different than winning at the "rat race" that so many people seem to harp against? Is Cal then in support of the "rat race" ?
[0] https://github.com/robjhyndman/forecast