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An introduction to Bayesian inference with no mathematics and no imported libraries.

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    It’s a shame the part where PyMC3 gets used is behind a paywall. There really needs to be more materials from people that aren’t core developers.

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      Hi, I’m one of the PyMC3 developers. I also would love to see more material from outside the core devs (one of the problems with this is that we tend to invite the people that write this sort of material to join the team). We have been talking lately about how we can improve our documentation, so I’d love to hear your feedback on what we can do better. Thanks!

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        I’m @zaxtax on twitter. I’m obviously a gigantic fanboy of PyMC! I meant I want to see other people writing about the library. I do think too much of the documentation is buried in the notebooks but don’t know how others want the documentation organized.

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          I do think too much of the documentation is buried in the notebooks but don’t know how others want the documentation organized.

          100% agree. Separating the API docs from Bayesian modeling how-tos is high on our list, so stay tuned!