Intersting challenge.
Here is the NotebookLM Audio: MTA's Open Data program
https://notebooklm.google.com/notebook/286a30b9-b17f-4dac-9e...
117 karma · joined October 2, 2013
This is would be a great project to provide a mature Lisp that developers could use to target WebAssembly. Guile Scheme is an amazing Lisp to utilize for this purpose. Here are some other Lisp-to-Wasm type projects from my brief search.
-The Wisp project to compile Lisp-to-Wasm:
https://github.com/mbrock/wisp-Chaitin's Lisp- This is a WebAssembly port of Gregory Chaitin's minimal Lisp interpreter: http://weitz.de/chaitin/
-HN post: Common Lisp running natively over WebAssembly: https://news.ycombinator.com/item?id=31590819
Great idea!
Thank you for your work. When trying to teach my child basic coding concepts along with their math homework, the barrier often is the IDE.
The web-based staring point is incredibly useful. Fire up the web browser and show the math example is excellent. I have started using the web-based Pyret with my 9-year-old. As we do her math, we mirror the math and geometry problems and solve them in the browser environment. The simplicity to code, run, eval is key.
https://www.pyret.orgI will give Easylang a try on her next set of problems. Strong Work!
I was thinking about this the other day. How can I expose my Common Lisp code to Julia.
1. You could take the Clasp path by exposing CL to C++. https://youtu.be/8X69_42Mj-g This means taking / writing a CL in Julia.
2. Julia has an AST representation written in femtolisp. So it would be in interesting target for CL or some glue middle language like Shen. http://www.shenlanguage.org/
https://youtu.be/lMcRBdSdO_UHow about packages to convert Racket to WASM?
-Ted Talk with Walter von Lucadou https://youtu.be/TdfFEO-lFD0
Hal Abelson on Computer Science Education https://youtu.be/fqtlQWmRvvk
Making WebAssembly better for Rust(Common Lisp) https://news.ycombinator.com/item?id=16585315
Equally amazing Asteriod Mining by Mr. Arthur https://youtu.be/3-3DjxhGaUg
We use machine learning to predict the risk of a patient, after an inpatient admission, being readmitted in 30 days post discharge. If the risk is high, we proactively put process in place to reduce the readmission risk.