4 ms·
Ask HN: What to create in-depth scientific blog posts with
I am looking for tooling that can be used to create comprehensive, explanatory blog posts on scientific papers in the field of deep learning. The blog posts themselves should meet the basic requirements of scientific work, so it would be helpful, for example, if citations were supported.
I first thought about Jupyter Notebooks, but I don't think it's suitable for writing longer texts, and it also lacks citation management. Another idea would be Bookdown, but then the result looks more like a book than a blog.
I am grateful for recommendations!
- deleted 5y ago[deleted]
- eslaught 5y agoIt's possible to use Pandoc (https://pandoc.org/ https://pandoc.org/) with Jekyll. Here's a plugin that supports it (https://github.com/elliottslaughter/jekyll-pandoc-plugin https://github.com/elliottslaughter/jekyll-pandoc-plugin) and example in a working repository (https://github.com/StanfordLegion/regent-lang.org/blob/master/_plugins/pandoc_markdown.rb https://github.com/StanfordLegion/regent-lang.org/blob/maste...). Pandoc supports, among other things, math syntax, footnotes, and citations.
- arcontethegreat 5y agoI've previously read some in-depth articles on ML & DL that used Distill's publishing templates. Might be worth a look. https://github.com/distillpub/template https://github.com/distillpub/template