> Jupyter presents a unique programming style
UNIQUE (!)
> But the difference between Jupyter and a REPL is that Jupyter is persistent. Code which I write in a REPL disappears along with my data when the REPL exits, but Jupyter notebooks hang around.
Sounds like a typical Mathematica notebook to me.
Macsyma (a Computer Algebra system written in Lisp) has had also Notebooks like that: https://people.eecs.berkeley.edu/~fateman/macsyma/docs/intro...
REPLs on Lisp systems have been persistent in Lisp images (not in notebook files and not transferable) since a very long time and some display text/graphics inline.
And I think it's a little uncharitable to think I was claiming that wholesale, since I explicitly reference other implementations of the same idea at the end.
This is approach is available with all of the JVM languages too. Putting that with what others have noted about the CLR, C, and LISP implementations, this may be more common than rare.
https://zeroturnaround.com/rebellabs/reloading_java_classes_...
https://www.jetbrains.com/help/idea/2018.1/debugger-hotswap....
It may not be so much the case the people are being uncharitable as that there really isn't much that is new or unique in software.
For my own part, I have hit that wall so many times that I now begin with the assumption "if I can imagine how it might work, someone has probably already done it".
That is actually nice in the sense that I nearly always have a starting foundation when solving problems these days but also frustrating to the point of cynicism when discoveries or inventions I put a lot of time in to turn out to be minor variations on something 1k+ people already knew about.
For example, every time we discuss Lisp on HN, many talk about SLIME, SBCL and such.
Yet, the actual modern experience of what it meant to use Lisp on its glory days lives on Allegro Common Lisp and Lispworks.
Reading papers from Xerox PARC research always makes me sad that many think replicating a PDP-11 is the ultimate developer experience.
> Common LISP [23] and Dylan [12, 37] include optional type annotations, but the annotations are not used for type checking, they are used to improve performance.
Actually, type annotations in Common Lisp have been mostly used for three different purposes:
* improving performance
(by choosing specialized operations
and/or removing runtime type checks/dispatching)
* improving runtime safety, plus better error messages
(by adding more and more specific runtime type checks)
* improving compile-time safety
(by compile-time warnings of type errors)
The CMUCL compiler has used optional type declarations and type annotations at compile time for some static type checking, combined with some type inference.https://common-lisp.net/project/cmucl/doc/cmu-user/compiler....
There are at least two forks of CMUCL (SBCL and Scieneer CL), which use this,too.
Thus CMU Common Lisp has optional static typing + a limited form of compile-time type inference/propagation/checks.
Not sure when CMUCL added this, probably in the late 80s/early 90s. It was for example published in 1992 in the paper: 'The Python compiler for CMU Common Lisp', https://www.researchgate.net/publication/221252239_Python_co...
It's just as bad in any discussion of graphics techniques, operating system features, and again in security approaches/features. Migrating to devops and security spaces has been like a conceptual "Groundhog Day".
I'm starting to think our industry is actually not so innovative and fast moving as we all like to say it is. It may be that software is merely a new engineering field and new fields begin with a wave of invention followed by reflections of reiteration as boundaries are found and concepts get refined.