handsonscala
paip-lisp
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handsonscala | paip-lisp | |
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18 | 65 | |
647 | 7,005 | |
1.5% | - | |
0.0 | 0.8 | |
5 months ago | 6 months ago | |
TSQL | Common Lisp | |
GNU General Public License v3.0 or later | MIT License |
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handsonscala
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Is Li Haoyi libs standard throught scala useres?
To dive into the lihaoyi ecosystem, I recommend the book https://www.handsonscala.com/ by lihaoyi himself.
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Contrary to popular belief, Scala is actually a quite small and simple language
I recommend people go through Hands-on Scala, by Li Haoyi, a fantastic developer in the Scala community.
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Good book for non-beginners in programming
The best practical book around Scala language features is https://www.handsonscala.com/
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Starting with scala
You can have a look at https://www.handsonscala.com/ and see if that's for you!
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Getting into Scala from Python
his book, https://www.handsonscala.com/
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Suggest me resources to learn Scala.
Hands-on Scala Programming
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How is Databricks' style guide viewed nowadays?
If you like Li Haoyi's style of Scala, his book is a good place to start (it's longer than just a Style guide, of course): https://www.handsonscala.com/
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Algorithms and Data Structures in Scala;
is there a great resource, book or library on classic Algorithms and Data Structures in Scala, e.g. similar in scope and quality to Sedgewick Algorithms in Java https://algs4.cs.princeton.edu/home/ I found a very helpful section on algorithms implementation in /u/lihaoyi superb Hand-On Scala Programming book , but unfortunately it's only a few pages (p.107-121). And most other books provide algorithms just an illustration for some neat language feature. The thing is, to get a job as Scala developer these days (in competitive firms) one needs to be a competitive programmer, master of Leetcode, and Scala doesn't seem to have strong ecosystem in that regard as Java, Python or C++. Edit: in DIY spirit and as a learning exercise i'm thinking of translating Sedgewick Algorithms from Java to idiomatic functional Scala, if anyone wants to join this effort or aware of similar ones please let me know Edit 2 (in regards to comments on 'reinventing the wheel' below): if Scala is so great as a language and functional programming flagship, where are all the libraries of functionally implemented algorithms replacing conventional CLRS style imperative/mutable implementations?
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Need suggestions on where and how I can practice functional programming with Scala or in general programming in Scala. New to Scala.
handsonscala is a great read for programming in general using scala. Especially if you're the practical kind of learner.
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Scala at Scale at Databricks
I will toot the author's horn for him. He has a great series of Scala posts on his blog [1] and his book Hands-On Scala Programming [2] is a great introduction to building real applications with Scala so that any experienced developer can understand and extend them.
I work at a small company that has been using Scala for 7 years. Some of the prior employees clearly enjoyed playing with advanced language features and writing libraries for the most general possible case even when that made it hard to understand how they were used for the 2 actual cases we needed to address in our application code. Akka, Cats, and Shapeless were all over the place.
Those earlier employees have churned off to other places and I have successively simplified the code they wrote that is still useful, while encouraging the use of no more language power than necessary in new development. Hands-On Scala Programming is the book I give new hires as a language introduction that shows the sort of style to be preferred. It's much more like super-powered Python than like Haskell.
I have written C, JavaScript, Python, and Scala for money. When I started on Scala I had never written Java nor used any JVM language. I have come to really appreciate the rich ecosystem of JVM libraries, the instrumentation and profiling tools I get, and many aspects of the Scala language and standard library. I love Scala's collections and miss their power and ease when I'm writing Python. (Which I still do for certain scripting tasks and for accessing Python-ecosystem libraries.)
paip-lisp
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Ask HN: Guide for Implementing Common Lisp
PAIP by Peter Norvig, Chapter 23, Compiling Lisp
https://github.com/norvig/paip-lisp/blob/main/docs/chapter23...
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The Meeting of the Minds That Launched AI
Emacs is so much more than a text editor! But I need to stay on topic...
I believe your assessment of LISP (and therefore of MacArthy)'s impact on AI to be unfair. Just a few days ago https://github.com/norvig/paip-lisp was discussed on this site, for example.
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Towards a New SymPy
Sounds like a great project idea to make a toy demo of this direction you'd like to see. Maybe comparable to https://github.com/norvig/paip-lisp/blob/main/docs/chapter15... and https://github.com/norvig/paip-lisp/blob/main/docs/chapter8.... which are a few hundred lines of Lisp each, but do enough to be interesting.
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A few newbie questions about lisp
You could look into Paradigms of AI Programming by Peter Norvig which might interest you regardless of Lisp content.
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Mathematical paradigm?
Lisp has great power, examine PAIP, part II chapters 7 and 8.
- Peter Norvig – Paradigms of AI Programming Case Studies in Common Lisp
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Evidence that GPT-4 has a level of understanding
A computer running Prolog reasons, and that only requires a couple of pages of code. So it seems feasible that the network could have learned some ability to reason within its network.
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Conversation with Larry Masinter about Standardizing Common Lisp
IMHO it's because lisp shines to manipulate symbols whereas the current AI trend is crunching matrices.
When AI was about building grammars, trees, developing expert systems builds rules etc. symbol manipulation was king. Look at PAIP for some examples: https://github.com/norvig/paip-lisp
This paradigm has changed.
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A lispy book on databases
Origen: Conversación con Bing, 4/4/2023(1) gigamonkey/monkeylib-binary-data - GitHub. https://github.com/gigamonkey/monkeylib-binary-data Con acceso 4/4/2023. (2) paip-lisp/chapter4.md at main · norvig/paip-lisp · GitHub. https://github.com/norvig/paip-lisp/blob/main/docs/chapter4.md Con acceso 4/4/2023. (3) bibliography.md · GitHub. https://gist.github.com/gigamonkey/6151820 Con acceso 4/4/2023.
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A Retrospective on Paradigms of AI Programming (2002)
If anyone is interested PAIP is downloadable at https://github.com/norvig/paip-lisp
What are some alternatives?
WKHTMLToPDF - Convert HTML to PDF using Webkit (QtWebKit)
mal - mal - Make a Lisp
athenapdf - Drop-in replacement for wkhtmltopdf built on Go, Electron and Docker
30-days-of-elixir - A walk through the Elixir language in 30 exercises.
jsPDF - Client-side JavaScript PDF generation for everyone.
Crafting Interpreters - Repository for the book "Crafting Interpreters"
algs4 - Algorithms in C# ported from the book "Algorithms 4th Edition".
coalton - Coalton is an efficient, statically typed functional programming language that supercharges Common Lisp.
kwkhtmltopdf - wkhtmltopdf server with transparent drop-in client
picolisp-by-example - The source code of the free book "PicoLisp by Example"
HexaPDF - Versatile PDF creation and manipulation for Ruby
slime - The Superior Lisp Interaction Mode for Emacs