This is more for already-economists who want to learn the Python toolchain for their work, I think.

I do time series analysis (non-economic). So for example having a Kalman Filter python cookbook example is useful if I know the algorithms I want to use, but not the python libraries.

    capital: 30 mentions
    investment: 5 mentions
    wages: 10 mentions

I'd say the specific topics covered (macro questions like optimal savings, optimal taxation, etc) are what makes it an economics text, although you're right that much of the technical topics covered are applications of non-econ-specific algorithms and modeling techniques.

It's written by economists? it teaches quantitative tools and methods and models used by economists?

seems like pretty good stuff... but hey we can grep it and nitpick the title if we have nothing better to do.

Sargent is associated with "freshwater" macroeconomics. They tend to be very rigorous to the point of dropping topics considered important by other economists from their models.