ergolib VS portfolio

I have a macro in my personal library called BINDING-BLOCK that eliminates many though not all of the parens in common code idioms:

https://github.com/rongarret/ergolib/blob/master/core/bindin...

But like many of the sibling comments say, if you think getting rid of the parens entirely is desirable then you have missed the point, which is that Lisp code is not text, it's a data structure, a linked list, and the best way of serializing a linked list is with delimiters a the start and end, like so:

(1 2 3)

I believe the OP's ergolib provides an example. From https://github.com/rongarret/ergolib/blob/master/core/bindin..., the examples show code like:

;;; (bb

Yes. It was awesome. I used P-Lisp on an Apple II in the late 70s and it pretty much laid the foundation for my whole career. In the 80s I did my compiler class assignments in Lisp while everyone else was using Pascal or C. I got my assignments done in an hour while everyone else took days. I still got an A. I did my masters and Ph.D. thesis work using Coral Common Lisp (now Clozure Common Lisp) first on a Mac Plus, then a Mac II, then a Quadra. Nowadays I run CCL on an MBP. I still use some of the library code I wrote back in the 90s.

to get a list of primes under 100.

See https://github.com/rongarret/ergolib for an implementation of WITH-COLLECTOR and lots of other constructs that are IMHO the Right Way to write code.

Any code modification is a potential security issue. There is nothing special about dynamic class redefinition in this regard.

I use it for deployment. I can deploy new code without having to take my application down. In fact, not only do all my existing instances get updated, but I also use an ORM [1] that automatically updates my database tables too.

[1] https://github.com/rongarret/ergolib/blob/master/layer1/sql....

Oh I'd love to share it, I just can't. Well I made one that did make its way to Fortran by being independently developed, the Lisp version was in 2011 and the Fortran I think...2017. The brute forcer in AI-Feynman.

https://github.com/SJ001/AI-Feynman/blob/master/aifeynman/sy...

I talk about it in my portfolio, it's Guesser 1.0 and Guesser 2.0.

https://github.com/daniel-cussen/portfolio/blob/master/portf...

I actually got a great insight into marketing from Fahrenheit 451.

So what you should know is I spent a long time dedicated to creating algorithms, and in doing so created enough different material to make a portfolio: https://github.com/daniel-cussen/portfolio/blob/master/portf...

And I got that idea from Bradbury, at one point--in my recollection of the book, I can't find the part I'm looking for--what I remember is the antagonist (Captain Beatty) saying there's ten million soldiers, but reporting it as one million is more impressive, so that's what's claimed. But a million was the magic number of the twentieth century. Now it's a billion.

So in my portfolio I describe an algorithm that beats the state of the art by a factor of a billion. It's a rough way of communicating it, it's not actually a fixed factor except in specific situations. And really it was about 1.07 billion. So, that's pure marketing--it's the truth, it will be faster by that much--but there's a reason it was about a billion and not more. I could have kept improving it, but it would have been counterproductive to its real purpose, which was talking about it to people and getting exposure as an algorithm writer. For those purposes, a factor of a trillion would have been much less impressive. I'd have to explain what a trillion is, it's such a big number you can't write it down because it's got twelve zeroes behind it, which confuses people. And it leads people to believe it wasn't a meaningful achievement, like I optimized something that didn't really matter.

So there you go, even dystopian novels can have good ideas.