codebraid
ISLR
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| codebraid | ISLR | |
|---|---|---|
| 4 | 4 | |
| 362 | 57 | |
| - | - | |
| 5.2 | 0.0 | |
| 6 months ago | about 3 years ago | |
| Python | R | |
| BSD 3-clause "New" or "Revised" License | - |
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codebraid
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Literate DevOps
If you want Markdown instead of Org Mode, Codebraid is great.
https://github.com/gpoore/codebraid
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[D] 7 years since Norm Matloff's blog post "STATISTICS: LOSING GROUND TO CS, LOSING IMAGE AMONG STUDENTS". How has the statistics vs CS situation evolved?
Fortunately, literate programming is a thing, so there are still tools for that. If you want PDF/HTML output facilities, it looks like CodeBraid is the way to go. It uses the Pandoc framework, so you can do all kinds of neat things with it.
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R Markdown: The Definitive Guide
For the Python in markdown case, you might be interested in one of my projects that allows executable Python code (including optional Jupyter kernel support) in Pandoc markdown: https://github.com/gpoore/codebraid. Pandoc does all the document parsing (there is no regex preprocessor for extracting code), so converting markdown to markdown often works particularly well.
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How I use Pandoc to create programming eBooks
A tool that really helped me was codebraid, it allows me to keep the code and output of said code in sync really easily.
ISLR
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An Introduction to Statistical Learning with Applications in Python
It’s a well known machine learning book. I’ve read through it and done the exercises in R.
https://github.com/melling/ISLR
There’s an edX course from the authors:
https://www.edx.org/course/statistical-learning
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Introduction to statistical learning, 2nd edition
Looks like a few new chapters. e.g Deep Learning
I own the first edition. Made it through the entire book during the pandemic with a study partner.
There are other resources:
https://github.com/melling/ISLR
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R Markdown: The Definitive Guide
I recently discovered R Markdown. Started doing the ISLR examples with it.
https://github.com/melling/ISLR/blob/main/chapter08/08_Lab02...
https://github.com/melling/ISLR/blob/main/chapter08/08_Lab02...
I need to figure out how to better fit images so I don’t have pages with large gaps
Also, you can now embed executable Python in the files.
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The Elements of Statistical Learning [pdf]
I’m up to Chapter 6 in ISLR
https://github.com/melling/ISLR
Would Elements of Statistical Learning be my next book? I’ve seen the Bishop book highly recommended too.
https://www.amazon.com/Pattern-Recognition-Learning-Informat...
What are some alternatives?
mdBook - Create book from markdown files. Like Gitbook but implemented in Rust
the-elements-of-statistical-learning - My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
rmarkdown - Dynamic Documents for R
Neptune.jl - Simple (Pluto-based) non-reactive notebooks for Julia
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Pluto.jl - 🎈 Simple reactive notebooks for Julia
here_here - I love the here package. Here's why.
gedit-plugin-markdown_preview - A gedit plugin previewing markdown (.md) documents