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" ?
I really don't know, but my guess would be that in mathematics particular symbols denote particular meanings depending on the shape of / decorations on the character. Big g is different from little g which is different from bold g which is different from italic g which is different from Fraktur g. Because Fraktur g is different in meaning from just g, Fraktur gets a spot in the Unicode specs. Courier, while it is standard for screenplays, does not affect the meaning of the text of the screenplay as opposed to the use of another font.
Nicotine is also an acetylcholinergic stimulant, meaning it aids in the quickness of thought [0]. By removing this from your stack you probably depressed your acetylcholine for a while, making you less able to think clearly.
It might also be the lack of breaks too, but who knows.
[0] https://github.com/robjhyndman/forecast