jamesbvaughan.com

Languages and libraries

prolog web server

SHOW HN2016

238points
70comments
#104of 2,264 in 2016
Top 5%of 2016 by points

How HN took it

DebatedReal support and real criticism

3 positive, 4 neutral or asking, 0 mixed, 3 critical, out of 10 comments about the project. Thread score -0.04.

Idea: 2 for, 2 againstExecution: 0 for, 1 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Fun and interesting to read about Prolog

    From 3 comments
    • Pretty cool. I also did a stint messing around with Prolog and it was pretty awesome discovering an entirely new programming paradigm. I ended up doing the Priceonomics puzzle…
      dangoldin on HN
    • This is really fun. Thanks for sharing!
      p4bl0 on HN
    • Awesome, one of the most fun i had at university was building a Uri parser with prolog. After i discovered that you could define operators i built a combinatorial parser,…
      ga2arch on HN

Objections

  • Server is not a good use of Prolog

    From 1 comment
    • The class I was taking kind of blew my mind when I saw how you can solve some problems in such cool ways with Prolog, but I would certainly admit that this server isn't exactly…
      jamesbvaughan on HN
  • Site went down under traffic

    From 1 comment

Alternatives named

  • SWI Prolog web libraries

    From 1 comment
    • You might be surprised! SWI Prolog has libraries for web applications (http://www.pathwayslms.com/swipltuts/html/index.html) and other modern application development toolkits.…
      doublec on HN
  • Mercury

    From 1 comment
    • James, check out Mercury next as it's a faster, better Prolog with some industrial use. https://mercurylang.org
      nickpsecurity on HN
  • pyDatalog

    From 1 comment
    • I appreciate you taking the time. Your approach shows the first steps towards building an inference engine in Python, but these are all very trivial examples. The difference…
      siddboots on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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