clojure-cli-config VS clerk

Programming Clojure 3rd edition does have some minimal coverage of the CLI but it just barely made it to publication and a lot has been added since. You might find the CLI guide (https://clojure.org/guides/deps_and_cli) and CLI reference (https://clojure.org/reference/deps_and_cli) to be helpful for some questions. The Practicalli guide (https://practical.li/clojure/) has a number of good pages and resources on repl, tools, and use.

Yeah this is grim.

There is https://github.com/practicalli/clojure-deps-edn which solves this but it’s not linked to from any official docs which seems a miss to me. As well as the config and full documentation, it also comes with a video walking you through a demo of all the features.

I was lost when I moved to deps from lein, but just forking and cloning https://github.com/practicalli/clojure-deps-edn as $HOME/.clojure solved the problem - this base deps.edn contained all the aliases I needed - creating a new project, searching and adding dependencies, hooking up data inspectors like portal or reveal, testing, code coverage, benchmarking, building uberjar etc. Moving to deps also introduced me to polylith [1], which has been very useful for building large multi-component projects

[1] https://polylith.gitbook.io/polylith/

When I'm looking for tooling related stuff I do always check practical.li (https://practical.li/clojure/) since it probably has a good, if terse, description and mostly has links to the good documentation (or at least the best available).

4. You need build tooling and it seemed the choices were lein (easy user experience but not “blessed” future direction? - not sure about what i’m saying here but it’s the understanding i formed). Tools.deps is the blessed approach but designed to customise the heck out of it - problematic for a beginner like me! Thankfully you can park the customisation for later and just get started with a well laid out starter https://github.com/practicalli/clojure-deps-edn - there’s even a video walks you through its features, all the inspectors and visualisers are nice to know about but not needed yet on a beginner journey

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.