clerk VS reveal

Something I really like in the Clojure data science stack that isn't mentioned is Clerk* — an interesting take on notebooks. I think it's a good gateway into Clojure for those coming from a Python or R background.

*https://clerk.vision/

Clojure's lazy sequences by default are wonderful ergonomically, but it provides many ways to use strict evaluation if you want to. They aren't really a hassle either. I've been doing Clojure for the last few years and have a few grievances, but overall it's the most coherent, well thought out language I've used and I can't recommend it enough.

There is the issue of startup time with the JVM, but you can also do AOT compilation now so that really isn't a problem. Here are some other cool projects to look at if you're interested:

Malli: https://github.com/metosin/malli

Babashka: https://github.com/babashka/babashka

Clerk: https://github.com/nextjournal/clerk

I'm really enjoying using Clojure with Clerk: https://github.com/nextjournal/clerk

It's a bit like a Jupyter notebook, but you get to use your own editor, you still have a normal Clojure REPL, it's stored in git like "normal" code, etc.

Hey all, I'm new to Clojure and would appreciate your help with a few questions I had getting started. I'm using Leiningen to setup my projects and manage my packages as recommended in Brave & True. So far I've been able to add any dependencies I've needed without much issue, Neanderthal, tech.v3.dataset, etc. I'm interested in data science, and was hoping to set up a notebook environment to be able to quickly produce data visualizations on the fly since I'm used to working with Jupyter. I came across Clerk, but I'm having some trouble adding it to my project. Here's what I tried:

Clojure also has Clerk, which is like Jupyter, but more befitting Clojure's overall philosophy: https://clerk.vision/

If I were working long enough with gnarly enough equations I'd look into using Clerk to visualize the equations with MathJax or similar, probably following Sam Ritchie's footsteps with SICMUtils. To me this is the true readability answer: lisp notation for precise implementations, compiling to a rich & familiar visual representation.

Clojure does pretty well. See https://github.com/nubank/morse, https://docs.datomic.com/cloud/other-tools/REBL.html, and https://vlaaad.github.io/reveal/.

It's one of the areas that homoiconicity helps: code is data, data is code, so visualization tools can work on both sides.

I'm glad the MATLAB interface isn't dead haha

This this looks awfully similar to Reveal - (though a first blush it looks less composable and modular)

https://github.com/vlaaad/reveal/

In this talk Vlad shares his findings after developing and using Reveal daily. Reveal (https://github.com/vlaaad/reveal) aims to solve this problem by creating an in-process repl output pane that makes inspecting values as easy as selecting an interesting datum. It recognizes the value of text as a universal interface, that's why its output looks like a text: you can select it, copy it, save it into a file. Unlike text, reveal output holds references to printed values, making inspecting selected value a matter of opening a context menu.

Neat project. I use Reveal for some debugging purposes but it's not a true debugger like this project. I am looking forward to using FlowStorm in my projects.

;; :main-opts ["-m" "cognitect.rebl"]}

Into your '~/.clojure/deps.edn'.

From there I can just add 'rebl' as a profile to my Intellj when you start a REPL it starts automatically.

There are also alternative tools like Portal to do the same things: https://github.com/djblue/portal

Or: https://vlaaad.github.io/reveal/

Reveal is a Read Eval Visualize Loop for Clojure, a powerful and extensible REPL output pane that lives in the JVM. Being in-process allows for easy access to objects, which makes it perfect for data inspection.

Check out https://github.com/vlaaad/reveal/issues/2