clingo
scala
clingo | scala | |
---|---|---|
3 | 45 | |
586 | 14,279 | |
2.7% | 0.1% | |
7.5 | 9.8 | |
1 day ago | 7 days ago | |
C++ | Scala | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
clingo
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Learn Datalog Today
One of the easiest to get started on Datalog in my opinion is really clingo https://potassco.org/clingo/ , which can be pip installed and has python bindings. Answer Set Programming goes beyond datalog, but it holds datalog semantics as a sublanguage. It is unfortunate this is not well advertised.
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Modern SAT solvers: fast, neat and underused (2018)
Love this article and the push to build awareness of what modern SAT solvers can do.
The thing it misses, though, is that there are higher level abstractions that are far more accessible than SAT. If I were teaching a course on this, I would start with either Answer Set Programming or Satisfiability Modulo Theories (SMT). The most widely used solvers for those are clingo [0] and Z3 [1]:
With ASP, you write in a much clearer Prolog-like syntax that does not require nearly as much encoding effort as your typical SAT problem. Z3 is similar -- you can code up problems in a simple Python API, or write them in the smtlib language.
Both of these make it easy to add various types of optimization, constraints, etc. to your problem, and they're much better as modeling languages than straight SAT. Underneath, they have solvers that leverage all the modern CDCL tricks.
We wrote up a paper [2] on how to formulate a modern dependency solver in ASP; it's helped tremendously for adding new types of features like options, variants, and complex compiler/arch dependencies to Spack [3]. You could not get good solutions to some of these problems without a capable and expressive solver.
[0] https://github.com/potassco/clingo
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Ask HN: What is new in Algorithms / Data Structures these days?
Answer Set Programming is an incredibly powerful tool to declaratively solve combinatorial problems. Clingo is one of the best open source implementations in my opinion: https://github.com/potassco/clingo
scala
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Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉.
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Top Paying Programming Technologies 2024
8. Scala - $96,381
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Server side(Backend) programming languages
Scala
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Functional Programming Library for Golang by IBM
Big Scala vibes here, see also [1].
1: https://github.com/scala/scala/blob/v2.13.11/src/library/sca...
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Scala 2.13.11 and 2.12.18 are here
For details, refer to the release notes on GitHub: * https://github.com/scala/scala/releases/tag/v2.13.11 * https://github.com/scala/scala/releases/tag/v2.12.18
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Scala vs Java -The Ultimate Showdown
Scala is the next-generation Java virtual machine (JVM) language that is rapidly gaining popularity as a modern alternative to Java.
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Modern SAT solvers: fast, neat and underused (2018)
Compiling Scala without a SAT solver is probably too difficult.
The CNF Converter is a gem.
https://github.com/scala/scala/blob/v2.13.5/src/compiler/sca...
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Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges
In addition to Structured Query Language(SQL), we can also use a variety of different programming languages, such as Python, Java, JavaScript, R, Julia, Scala, or any other programming language as long as it supports a basic database connection and functions to perform all of those operations, to connect to databases and perform more advanced query operations on the data. This gives us greater flexibility and allows us to apply custom-created logic to the data.
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A Small Introduction to Functional Programming
Based on Lambda Calculus, developed by Alonzo Church in the 1930s, functional programming has been implemented in mainstream programming languages like JavaScript, Python and Java. Programming languages like Erlang, Haskell or Scala are better suited for functional programming as they are designed to be functional first.
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a child starts crying in public
Scala
What are some alternatives?
ezno - A JavaScript compiler and TypeScript checker written in Rust with a focus on static analysis and runtime performance
kotlin - The Kotlin Programming Language.
Decider - An Open Source .Net Constraint Programming Solver
rust - Empowering everyone to build reliable and efficient software.
libclc - Cache Line Container - C11
rust - Rust for the xtensa architecture. Built in targets for the ESP32 and ESP8266
pub - The pub command line tool
Playwright - Playwright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.
highfleet-ship-opt - A c/c++ module and python extensions for automatic optimization of Highfleet ship modules. Try it live at https://hfopt.jodavaho.io
Elixir - Elixir is a dynamic, functional language for building scalable and maintainable applications
egglog - egraphs + datalog!
Angular - Deliver web apps with confidence 🚀