Iota
| Iota | learning-lisp | |
|---|---|---|
| 4 | 1 | |
| 254 | 0 | |
| - | - | |
| 0.0 | 10.0 | |
| 5 months ago | about 1 year ago | |
| C | Common Lisp | |
| - | - |
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Iota
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Lisping at JPL Revisited
> but what sub-languages are we talking about? I only see a library with helper functions and macros. That's Common Lisp, not a derivative.
If your language is a DSL factory, the line between your language and DSLs naturally blurs. If https://github.com/y2q-actionman/with-c-syntax exists, does it mean that C is a DSL of Common Lisp, given a good enough standard library? If https://github.com/calyau/maxima exists, does it mean that Maxima is just Common Lisp with more maths? If https://github.com/Shen-Language/shen-cl and https://github.com/coalton-lang/coalton/ exist, does it mean that Shen and Coalton are just a fancy way of writing Common Lisp in an immutable way? If https://github.com/froggey/Iota exists and we can play sdlquake on Mezzano, does it mean that LLVM-IR is a dialect of Common Lisp?
The above series of questions is not meant to be fully credible - it's meant to be food for thought.
- LLVM to Common Lisp Transpiler
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Why Static Languages Suffer From Complexity
C++, ~haskell, python, mathematica... capisce? :)
learning-lisp
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Lisping at JPL Revisited
I have started spending most of my time programming again after a long hiatus where I was primarily focused on business. One of the things I am picking up in the process is learning Common Lisp. I am tracking my progress here[1]
Not for any particular reason, but because I think Lisp Macro/Metaprogramming is a fundamentally different thing that can only help expand my mind.
1: https://github.com/keeb/learning-lisp
What are some alternatives?
ChezScheme - Chez Scheme
with-c-syntax - C language syntax in Common Lisp
shen-cl - Shen for Common Lisp (Unmaintained)
maxima - Computer Algebra System written in Common Lisp (GPL CAS based on DOE-MACSYMA)
ergolib - A library designed to make programming in Common Lisp easier
Graal - GraalVM compiles Java applications into native executables that start instantly, scale fast, and use fewer compute resources 🚀
CLPython - An implementation of Python in Common Lisp