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Just to point out: the co-author is Thomas Sargent, Nobel Prize winner and generally a big deal. If he's taught himself Python, then kudos (he's 76). Even if not, it's a strong recommendation to have his name on the cover.
He did not win a Nobel prize, as there is no such thing for economics. However he won the Nobel Memorial Prize in Economic Sciences.
They also have a Julia version, which is more interesting.
Just to point out: the co-author is Thomas Sargent, Nobel Prize winner and generally a big deal. If he's taught himself Python, then kudos (he's 76). Even if not, it's a strong recommendation to have his name on the cover.
He did not win a Nobel prize, as there is no such thing for economics. However he won the Nobel Memorial Prize in Economic Sciences.
While it's true that Economic Sciences prize is not a "real" Nobel prize, it is commonly referred to as a Nobel prize. Interestingly, the Nobel Foundation also lists "Economic Sciences" on their website listing Nobel prizes even though they do not award or fund it: https://www.nobelprize.org/prizes/
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He did not win a Nobel prize, as there is no such thing for economics. However he won the Nobel Memorial Prize in Economic Sciences.
You must be great at parties.
I’ve written so much documentation on Confluence where it would have been easier to just send a pdf like this :/
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I got lost at part 1.4.1 on page 6. I know python, but what would I need to learn to actually follow this pdf?
It basically assumes you have at least one year's grad school level background in economics. It does give some overview, but probably not enough to learn it from the book alone.
They also have a Julia version, which is more interesting.
As someone with zero exposure to Julia can you provide some reasoning for why? (Honest question)
I often wish R's syntax was cleaner and faster, Julia is may accomplish this. I don't think Python is a great substitute for R in many areas where statistic is heavily used and influenced. I've used Python for Deep Learning and NLP. Time series and many other statistical base stuff I use R.
They also have a Julia version, which is more interesting.
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looks like linear algebra
Thanks, I'll hit youtube over the weekend
There's also a (very challenging, I would guess 150-300 hours time commitment) MIT course online: https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algeb... But it has videos.
I would focus on Chapter 21 in the pdf because it tells you exactly what you need for this application. And supplement it as needed.