Our great sponsors
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
If I wanted to do ML but with lispy syntax I'd probably use Hy, which is just a python re-skin. There is plenty of literature out there about ML in Hy (although it's not hard to translate from python too).
For example: https://github.com/FPTensorFlow/hy-tensorflow-tutorials
I prefer https://github.com/gilch/hissp, where Hy has to use shims to pretend statements are expressions, Hissp just targets the expression subset in the first place. (though as you mentioned, hy has a lot of literature and support around it, where as you're going to have to find your own way around hissp)
Related posts
- 2 line tic tac toe
- Other than having a wider range of libraries and beingthus being more "general purpose" and "practical" is there anything that makes Python an intrinsically better programming language than Lisp?
- can't import python submodules
- Show HN: Hissp
- gilch/hissp Hissp is a modular Lisp implementation that compiles to a functional subset of Python--Syntactic macro metaprogramming with full access to the Python ecosystem!