Our great sponsors
-
free-older-books-and-software
I used to have PDFs for my books on my web site - I moved them to this public repo.
-
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.
Title isn't accurate, this seems to be a link to all of Mark Watson's older books: including books on Lisp, Haskell, Java, and personal stories.
Looks like this PR from a couple months ago was him moving a bunch of older books from his personal website into this repo: https://github.com/mark-watson/free-older-books-and-software...
Perhaps you can get some of the advantages that you cite as missing by using an embedded LISP or Scheme implemented in Rust, so you can piggy-back on Rust's nice ecosystem and still have a dynamic "LISP sub-system". For instance:
https://github.com/isamert/scheme.rs
> but there doesn't seem to be one that really stands out as pragmatic, industrial
disagree ;) This industrial language is Common Lisp.
Some industrial uses:
- http://www.lispworks.com/success-stories/index.html
- https://github.com/azzamsa/awesome-lisp-companies/
- https://lisp-lang.org/success/
Example companies: Intel's programmable chips, the ACL2 theorem prover (https://royalsocietypublishing.org/doi/10.1098/rsta.2015.039...), urban transportation planning systems (SISCOG), Quantum Computing (HRL Labs, Rigetti…), big data financial analysis (Ravenpack, they might be hiring), Google, Boeing, the NASA, etc.
ps: Python competing? strong disagree^^
> obstacles add up
I actually agree. It wasn't smooth for me to ship my first CL app. It's all better now (more tools, more documentation, more blog posts from several people, more SO questions and answers!).
> performant
SBCL is in the same ballpack of C, Rust or Java in many benchmarks.
In this article series, the author writes the same program in CL, Rust and Java. In fact, he copy-pastes a PG snippet from 30 years ago. This snippet beats Rust and Java in LOC and speed. But, yeah, he wasn't writing super efficient Rust code, so after many discussions, pull requests and sweating, the Rust code became the most performant. https://renato.athaydes.com/posts/revisiting-prechelt-paper-... It didn't take work to make the CL code performant, more so for the Rust one ;)
a benchmark after sb-simd vectorization: https://preview.redd.it/vn5juu36v2681.png?width=715&format=p... (https://www.reddit.com/r/Common_Lisp/comments/riedio/quite_a...)
> good tools for networking, for writing concurrent or asynchronous code, for graphics,
I refer the reader to https://github.com/CodyReichert/awesome-cl but yes, CL won't have the best libraries in some scenarii (GUI? Tk libs are good, we have Gtk4, a Qt5 library used in production© by a big player but difficult to install etc)
> it doesn't give you a good package manager or means of distributing code
Quicklisp is neat, with limitations, that can be addressed with Qlot, ql-https, or CLPM or the newest ocicl.