StatsWithJuliaBook VS JLD2.jl

I actually like this book by Yoni Nazarathy

https://statisticswithjulia.org/

They have a book on Mathematics of DL too which is a natural progression from the concepts covered here.

(I am slightly biased towards this since I've known the author by online interactions)

Today I just started read Stats with Julia (https://statisticswithjulia.org/) and I have to say as a CS and math person, I really love this book. Of course one of the reasons may be that I want to learn Julia.

I like what little I have read so far in Statistics with Julia. There is also the recent MIT course Intro to Computational Thinking that uses Pluto and includes statistics and probability at a moderately advanced level.

A single Google search sufficed: https://statisticswithjulia.org/

Here's the corresponding github link to the draft version of the book: https://github.com/h-Klok/StatsWithJuliaBook

First, you need to save the model from the notebook to a file. For this you can use JLD2.jl module. This module used to serialize Julia object to HDF5-compatible format (which is well known by Python data scientists) and save it to a file.

I didn't realize this was the Julia subreddit. HDF5 or multiple CSV files would be my suggestion. As a side note, check out the JLD2 package. It's a HDF5 compatible format where the package is written in pure Julia.