common-lisp-jupyter VS roswell

To get a nice combination of easy edits and evaluation in a format familiar to a pythonista, could play with Lisp in Jupyter:

https://github.com/yitzchak/common-lisp-jupyter

Thanks for pointing to this. Now I gotta give common-lisp-jupyter a try

I can imagine something like https://github.com/yitzchak/common-lisp-jupyter but without Jupyter.

BTW, Roswell makes it easier to run scripts: https://github.com/roswell/roswell/wiki/Roswell-as-a-Scripti...

It is also a tool to install various CL implementations, and to install software.

It doesn't come with a choice of built-in libraries.

The Github wiki: https://github.com/roswell/roswell/wiki

download failed "https://github.com/roswell/roswell/releases/download/21.10.14.111/roswell_21.10.14.111_amd64.zip" 404 "Not Found"

You could also be a roswell user, in which case your project might have a roswell directory. Again, you can look at the qlot project for reference.

Clack is a web application environment for Common Lisp inspired by Python's WSGI and Ruby's Rack. Clack provides a script to start a web server. It's useful when you deploy to production environment. You need to install Roswell before as Clack depends on it.

Common Lisp itself has Roswell, which I am disappointed to see is not even mentioned in the article.

https://github.com/roswell/roswell

w.r.t to image size, ScriptL takes care of that since everything is in the same image. You could also use something like buildapp or cl-launch to make a multi-call binary that you compile your scripts into. I think I recall roswell allowing multiple entry points too, but I never could get it to work. Possibly PEBKAC on my end.