Title: We just published this tutorial about ARMA(p,q) models for modeling time series, and how to fit them using Python. But while it’s a tutorial, it has a few twists. First, it’s interactive: you’ll learn by solving problems and making choices. Second, it’s a story: you play a character in a plot that gives you real-life problems to solve. And third, it’s illustrated: we spent many hours hacking with Stable Diffusion, GIMP, and matplotlib.<p>This is chapter 3 in our interactive course, Everyday Data Science. [1] The first half of the chapter is free. You can get the whole course forever for $29. These chapters are a lot of effort to produce, so please let us know what you think :-)<p>- Andrew Carr [2] and Jim Fisher [3]<p>[1]: <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=32118530" rel="nofollow">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=32118530</a>
[2]: <a href="https:&#x2F;&#x2F;twitter.com&#x2F;andrew_n_carr" rel="nofollow">https:&#x2F;&#x2F;twitter.com&#x2F;andrew_n_carr</a>
[3]: <a href="https:&#x2F;&#x2F;jameshfisher.com&#x2F;" rel="nofollow">https:&#x2F;&#x2F;jameshfisher.com&#x2F;</a>
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