#jython — Public Fediverse posts

You don't need to leave #Java behind to gain modern language features. #Kotlin #Scala #Groovy, & others run on the same reliable #JVM & open new dev possibilities.

🛠 Choose the right tool for the job with Mihaela Gheorghe-Roman: https://javapro.io/2025/10/09/the-rise-of-jvm-languages-kotlin-scala-groovy-and-more/

#Jython @IntelliJScala

Which JVM language fits your stack? #Kotlin for Android, #Scala for Spark, #Groovy for testing, #Clojure for concurrency, #JRuby & #Jython for scripts. Each solves different dev pains—fully JVM-compatible.

Mihaela Gheorghe-Roman shows the big picture: https://javapro.io/2025/10/09/the-rise-of-jvm-languages-kotlin-scala-groovy-and-more/

Ein lang ersehnter Wunsch von mir: Eigene #Clustering Methoden in #OpenRefine benutzen.

Verfügbar seit Version 3.9.0 und funktioniert seit 3.9.3 auch mit #Jython und #Clojure.

Hier eine Anleitung zur Benutzung im #FDMLab Blog.

https://fdmlab.landesarchiv-bw.de/workshop/openrefine-fortgeschrittene/19-erweitertes-clustering/

#LandesarchivBW

Imagine:
- small custom tool in #Python2 / #Jython, bundled to an .exe
- Last time bundled was a few years back
- executable used on CI server

Then:
- suddenly all builds across the Server fail 😳
- The CI server and your own PC fail executing your small tool, saying "This application needs #Java 8" 🤔
- But your CI Server and own PC _have_ Java 8 installed 🤨
- The fellas around you have seemingly the same tools installed and can execute the tool 🧐

#programming #magic #CI

True as always that the way to make software run faster is to make it do less operations. After all, CPUs can only execute a fixed number of operations per unit of time.

Here, I tweaked code for serial section registration that drops execution time from 27 seconds to 100 milliseconds: a 270x speed up.

All it had to do is to search for matching SIFT features in one image only within a predetermined radius centered on one SIFT feature in another image. Extremely effective for when e.g., the maximum translation is known.

The matching code using a KDTree:
https://github.com/acardona/scripts/blob/master/java/asm/my/PointMatchesFast.java#L56

The test script:
https://github.com/acardona/scripts/blob/dev/python/imagej/FIBSEM/tests/test_matchNearbyFeatures.py

#FijiSc #java #jython #volumeEM #vEM

"Type annotations are unsupperted in Python 2"
😒😒

Will man Jython überhaupt noch verwenden? 🤐

#Jython #Python #Python2 #LegacyCode

Some questions regarding Ghidra:

* NetworkX libraries don't support Jython, right?
* Which Python 3.X bridge is the most used for Ghidra? Is it Ghidrathon? Or perhaps ghidra-bridge?
* Do you happen to know if there are differences big enough to worry about supporting Ghidrathon or Ghidra Bridge?

#Ghidra #NetworkX #Jython #Ghidrathon #GhidraBridge
#Python3 #Python2

@geordie

Here is an old-school image processing tutorial for #FijiSc in #jython 2.7 (python for java):

https://syn.mrc-lmb.cam.ac.uk/acardona/fiji-tutorial/

Enjoy!

Every time I need to run an image processing task, the open source software #FijiSc delivers.

The javadocs are up to date https://javadoc.scijava.org/ , the libraries just work – particularly #ImgLib2 https://imagej.net/libs/imglib2/

And the examples of my own tutorial https://syn.mrc-lmb.cam.ac.uk/acardona/fiji-tutorial/ written in python 2.7 for the #JVM (#jython), despite some being a decade old, they all just work. Grateful every day for the outstanding backwards compatibility plus the new plugins and libraries that continue to grow https://fiji.sc

Many thanks to the many, many developers and maintainers, particularly Curtis Rueden, who is presently cutting out a new release: 2.11.0 https://forum.image.sc/t/plugin-maintainers-can-you-test-fiji-2-11-0/78852/18

#ImageProcessing

@thecesrom Jythooooooooon! In my best Kirk voice.

:java: and :python: together is a great idea, but not having the Python 3 `main` branch working, and having no clear progress makes it feel like Perl 6 all over again.

They should rename their moribund Jython3 repo, that's just confusing!

It's such a shame, useful Java scripting interfaces languishing in a dying ecosystem.

There was a similar lag with things that embed CPython, but they have an escape route.

#Jython #Jython3 #Python27

@shmarkus @java_discussions there is also #py4j which is quite successful, for instance it powers the popular #pyspark. And #GraalPython which could hopefully provide a sort of replacement for #jython on the long run, although the authors do not aim for that