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.
-
PurefunctionPipelineDataflow
My Blog: The Math-based Grand Unified Programming Theory: The Pure Function Pipeline Data Flow with principle-based Warehouse/Workshop Model
-
-
wscl
Sources of the "Well Specified Common Lisp" specification which is based on the final draft of the Common Lisp standard but is not a new Common Lisp standard.
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
They seem to offer open source (I think) product Nyxt browser[0]. They offer some interesting features. One is Lossless tree history, I can see it being very useful!
https://nyxt.atlas.engineer/
> You do know that statically typed languages have REPLs too? Like the ML family, including Haskell.
I do, but that I don't see how that relates to the bit of my post which you've quoted. I certainly didn't claim or imply that REPL and static type systems were mutually exclusive, only that REPLs are a poor substitute for many static analysis tasks.
> And when using something like a Jupyter notebook with a kernel for your compiled language https://github.com/gopherdata/gophernotes you can do similar interactive programming.
Yeah, I'm aware. I operate a large JupyterHub cluster (among many other things) at work. :)
> Lisp REPLs take that a step further, as you interact with and in your whole actually running program.
That sounds nice, but it's too abstract to persuade IMHO.
The future belongs to "Foxpro's(TIOBE 21) Database-oriented programming paradigm is the development direction of the future programming language (2021.11.07)":
https://github.com/linpengcheng/PurefunctionPipelineDataflow...
The Math-based Grand Unified Programming Theory: The Pure Function Pipeline Data Flow with Principle-based Warehouse/Workshop Model
https://github.com/linpengcheng/PurefunctionPipelineDataflow
I like the term "Eternal Language" - programming languages where if you write code now - you will be able to compile and use that code ten years from now (a software lifecycle eternity). Common Lisp, C, C++, Fortran are close to eternal languages. After losing a huge amount of Python 2 code (I wasn't going to rewrite it) I implemented Clasp, a Common Lisp implementation that interoperates with C++ (https://github.com/clasp-developers/clasp.git) so that I can write code that will hopefully live longer.
I am one of the few software developers with code that I wrote 27 years ago that is still in active use by thousands of computational chemistry researchers (Leap, a frontend for the computational chemistry molecular dynamics package AMBER, implemented in C).
SICL is still an implementation of Common Lisp, and not of a new programming language (give or take some additional features, such as first-class global environments). That said, there is some overlap between the authors of SICL and the authors of Well Specified Common Lisp <https://github.com/s-expressionists/wscl>; but WSCL only really defines some undefined and contradictory behaviour in the ANSI Common Lisp specification.