A configurable LISP dialect that can call python code
Project description
An extension of Peter Norvig’s lispy (http://norvig.com/lispy.html) which includes the ability to access symbols from python packages as if they were written in lispy.
This experiment was initially intended to let me play with scheme while still having access to python’s batteries.
Motivation
I’ve been writing a lot of python code, and I love the python ecosystem. It has wonderful tools for web application development (Django, Flask, Pyramid), data munging (Beautiful Soup, requests) and data analysis (NumPy, SciPy, Pandas, IPython). I’d like to learn more about the internal implementation of python, its introspection abilities and its design decisions. I’d also like to better understand the LISP ecosystem, what better way than implementing a LISP in python.
Goals
This is currently a pet project to facilitate learning the LISP and scheme ecosystems and to bring about a better understanding of the theory and complexity of language design. My roadmap includes several additions to lispy to make it a toolkit for python developers who might be interested in dipping their toe in LISP.
[x] Implement a scheme which allows the calling of python functions using s-expressions
[ ] Implement a shebang system
[ ] Implement a better REPL
[ ] Implement pluggable language options for different lisp dialect plugins, allow language rules to be overridden to emulate other languages either in lisp, macros or in the python code that implements the language
[ ] Implement reader macros
