expressive-java
Example of matching Scala's case class expressiveness in Java 8, Java 15 and Java 17 (by Randgalt)
PyCall.jl
Package to call Python functions from the Julia language (by JuliaPy)
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| expressive-java | PyCall.jl | |
|---|---|---|
| 6 | 28 | |
| 14 | 1,438 | |
| - | 1.2% | |
| 0.0 | 6.1 | |
| almost 2 years ago | about 2 months ago | |
| Java | Julia | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
expressive-java
Posts with mentions or reviews of expressive-java.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-24.
- Deconstructing Records in Pattern Matching - Inside Java Newscast #26
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ExpressiveJava: Re-implementing a simple Scala interpreter in JDK 8/15/17. JDK 17 code nearly identical with use of Records + Pattern Matching + Sealed Types.
With JDK17 and the introduction of Record types, sealed classes/interfaces, and pattern-matching the implementation can come close to ver-batim mirroring the Scala 2 one: - Scala: https://www.scala-lang.org/old/node/56.html - JDK 17 Java: https://github.com/Randgalt/expressive-java/blob/master/java-17/src/main/java/examples/SimpleInterpreter.java
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ExpressiveJava: Rewriting simple Scala interpreter – JDK17 code nearly identical
I wanted to share this little project I found. The author has been writing Java re-implementations of the same Scala interpreter over the years as newer JDK versions & features are released.
With JDK17 and the introduction of Record types, sealed classes/interfaces, and pattern-matching the implementation can come close to ver-batim mirroring the Scala 2 one:
https://github.com/Randgalt/expressive-java/blob/master/java...
Unfortunately, the Scala org website is down right now, so the original code can be viewed here for the moment:
https://web.archive.org/web/20200103022853/https://www.scala...
(Or also in the repo: https://github.com/Randgalt/expressive-java/blob/master/scal...)
The final feature that is needed to really seal the deal, is part of JEP 405 for destructuring + binding to values in patterns ("Deconstruction patterns"):
https://github.com/Randgalt/expressive-java/issues/3
https://openjdk.java.net/jeps/405
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Why Co–Star Uses Haskell
using records and ADTs (sealed types) with pattern match "switch" and the net result is an almost verbatim translation.
https://github.com/Randgalt/expressive-java/issues/1
There is one ugly line which JDK18 will fix, "destructuring in pattern captures/match".
PyCall.jl
Posts with mentions or reviews of PyCall.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-06.
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I just started into Julia for ML
For point 3 you can use https://github.com/cjdoris/PythonCall.jl or https://github.com/JuliaPy/PyCall.jl (and their respective Python sister packages).
- The Mojo Programming Language: A Python Superset Drawing from Rust's Strengths
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Calling Chapel, Carbon, and zig code in Julia
PyCall.jl is really handy. Are there any similar projects for calling Chapel code, or Carbon/zig?
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Am I dumb in thinking I can use Rust as a Fast Python and leave it at that?
Julia and Python interop should not be a problem at all. Actually Julia has one of the best interops I’ve ever seen, so much that swift copied it. https://github.com/JuliaPy/PyCall.jl
- Which tools do you use for python + Data Science?
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I don't want to abandon Rust for Julia
One small note, julia also has great python interop via PyCall.jl
- Faster Python calculations with Numba: 2 lines of code, 13× speed-up
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Interoperability in Julia
It is possible to call Python from Julia using PyCall. Then to install PyCall, run the command in the Julia REPL.
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Why is Python so used in the machine learning?
That said, you can run python modules in Julia. So you can just export your code as a module and then use it in Julia via the PyCall package. short description here github here <— you’d just add the pacakge via the really nice package manager built into julia, but for link for more detailed documentation
- Use rust code in Python with pyo3