#jython — Public Fediverse posts

Jython 2.7.5 is currently in beta, with a release candidate upcoming soon.
A good moment to test your setup with the upcoming release is *now*!
Mind a breaking change:
Servlet support moves from javax to jakarta namespace.

https://github.com/jython/jython/releases/tag/v2.7.5b1

#jython #java #python #jvm

Jython 2.7.5 is currently in beta, with a release candidate upcoming soon.
A good moment to test your setup with the upcoming release is *now*!
Mind a breaking change:
Servlet support moves from javax to jakarta namespace.

https://github.com/jython/jython/releases/tag/v2.7.5b1

#jython #java #python #jvm

Jython 2.7.5 is currently in beta, with a release candidate upcoming soon.
A good moment to test your setup with the upcoming release is *now*!
Mind a breaking change:
Servlet support moves from javax to jakarta namespace.

https://github.com/jython/jython/releases/tag/v2.7.5b1

#jython #java #python #jvm

We are currently on the last meters of finalizing a new Jython maintenance release (2.7.5 beta).
A breaking change is that we finally move from javax.servlet to jakarta.servlet.
If you use Jython, make sure your setup accommodates this change!

Email announcement for javax->jakarta migration: https://sourceforge.net/p/jython/mailman/message/59305034/
Follow changes and discussions (issues and PRs) on Github: https://github.com/jython/jython
Homepage: https://jython.org
API doc: https://apidia.net/java/Jython

#jython #java #python #jvm

We are currently on the last meters of finalizing a new Jython maintenance release (2.7.5 beta).
A breaking change is that we finally move from javax.servlet to jakarta.servlet.
If you use Jython, make sure your setup accommodates this change!

Email announcement for javax->jakarta migration: https://sourceforge.net/p/jython/mailman/message/59305034/
Follow changes and discussions (issues and PRs) on Github: https://github.com/jython/jython
Homepage: https://jython.org
API doc: https://apidia.net/java/Jython

#jython #java #python #jvm

We are currently on the last meters of finalizing a new Jython maintenance release (2.7.5 beta).
A breaking change is that we finally move from javax.servlet to jakarta.servlet.
If you use Jython, make sure your setup accommodates this change!

Email announcement for javax->jakarta migration: https://sourceforge.net/p/jython/mailman/message/59305034/
Follow changes and discussions (issues and PRs) on Github: https://github.com/jython/jython
Homepage: https://jython.org
API doc: https://apidia.net/java/Jython

#jython #java #python #jvm

We are currently on the last meters of finalizing a new Jython maintenance release (2.7.5 beta).
A breaking change is that we finally move from javax.servlet to jakarta.servlet.
If you use Jython, make sure your setup accommodates this change!

Email announcement for javax->jakarta migration: https://sourceforge.net/p/jython/mailman/message/59305034/
Follow changes and discussions (issues and PRs) on Github: https://github.com/jython/jython
Homepage: https://jython.org
API doc: https://apidia.net/java/Jython

#jython #java #python #jvm

So... today I discovered #Jython. And I found out you can make applets with it.

:thonk: 🐍

#Python #RetroDev

So... today I discovered #Jython. And I found out you can make applets with it.

:thonk: 🐍

#Python #RetroDev

So... today I discovered #Jython. And I found out you can make applets with it.

:thonk: 🐍

#Python #RetroDev

So... today I discovered #Jython. And I found out you can make applets with it.

:thonk: 🐍

#Python #RetroDev

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

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/

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/

Still writing Java 8 code? You may be missing out. Modern JVM languages bring you:

✔ Null-safety, Functional programming, Concise DSLs, Faster onboarding

Mihaela Gheorghe-Roman maps the evolving #JVM landscape: https://javapro.io/2025/10/09/the-rise-of-jvm-languages-kotlin-scala-groovy-and-more/

#Kotlin #Scala #Jython @IntelliJScala

Still writing Java 8 code? You may be missing out. Modern JVM languages bring you:

✔ Null-safety, Functional programming, Concise DSLs, Faster onboarding

Mihaela Gheorghe-Roman maps the evolving #JVM landscape: https://javapro.io/2025/10/09/the-rise-of-jvm-languages-kotlin-scala-groovy-and-more/

#Kotlin #Scala #Jython @IntelliJScala

#Java’s birthday isn’t just a look back—it’s proof the #JVM powers far more than Java today. From Clojure to JRuby, JVM languages boost concurrency, syntax & prototyping. Find your favorite with Mihaela Gheorghe-Roman: https://javapro.io/2025/10/09/the-rise-of-jvm-languages-kotlin-scala-groovy-and-more/
#Kotlin #Scala #Jython @IntelliJScala

#Java’s birthday isn’t just a look back—it’s proof the #JVM powers far more than Java today. From Clojure to JRuby, JVM languages boost concurrency, syntax & prototyping. Find your favorite with Mihaela Gheorghe-Roman: https://javapro.io/2025/10/09/the-rise-of-jvm-languages-kotlin-scala-groovy-and-more/
#Kotlin #Scala #Jython @IntelliJScala

Thanks to Werner Fouché's initiative, there is now a @jbangdev catalog for Jython!
As a result, running Jython scripts becomes even easier:

jbang run jython-cli@jython <jython-script>.py

or after install: jython-cli <jython-script>.py

https://github.com/jython/jbang-catalog

#java #jython #jbang #jdk

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

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

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

We're excited to share that there has been an effort by Werner Fouché to integrate Jython with JBang. Please checkout his Medium article to learn how you can run Jython scripts on JBang easily! https://medium.com/@werner.fouche/running-jython-scripts-with-jbang-using-a-java-helper-program-9ab9f8e35ddc #jython #jbang @jbangdev

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

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

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

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

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

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

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

"Type annotations are unsupperted in Python 2"
😒😒

Will man Jython überhaupt noch verwenden? 🤐

#Jython #Python #Python2 #LegacyCode

"Type annotations are unsupperted in Python 2"
😒😒

Will man Jython überhaupt noch verwenden? 🤐

#Jython #Python #Python2 #LegacyCode

"Type annotations are unsupperted in Python 2"
😒😒

Will man Jython überhaupt noch verwenden? 🤐

#Jython #Python #Python2 #LegacyCode

Mh...in nem Jython Projekt, in dem im Python Code imports aus ner Java-Bibliothek stattfinden.....wie bring ich meinem IntelliJ bei, dass es die auflöst und nicht als fehlerhafte Imports anzeigt? 🧐

#Python #Java #Jython #IntelliJ

Mh...in nem Jython Projekt, in dem im Python Code imports aus ner Java-Bibliothek stattfinden.....wie bring ich meinem IntelliJ bei, dass es die auflöst und nicht als fehlerhafte Imports anzeigt? 🧐

#Python #Java #Jython #IntelliJ

Mh...in nem Jython Projekt, in dem im Python Code imports aus ner Java-Bibliothek stattfinden.....wie bring ich meinem IntelliJ bei, dass es die auflöst und nicht als fehlerhafte Imports anzeigt? 🧐

#Python #Java #Jython #IntelliJ

Mh...in nem Jython Projekt, in dem im Python Code imports aus ner Java-Bibliothek stattfinden.....wie bring ich meinem IntelliJ bei, dass es die auflöst und nicht als fehlerhafte Imports anzeigt? 🧐

#Python #Java #Jython #IntelliJ

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

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

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

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

@lkundrak Some years ago #Jython developers realized that it became very fast because of VM improvements, without them doing anything

@lkundrak Some years ago #Jython developers realized that it became very fast because of VM improvements, without them doing anything

@lkundrak Some years ago #Jython developers realized that it became very fast because of VM improvements, without them doing anything

@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!

@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!

@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!

@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!

@daieuxetdailleurs @Ettore_Rizza ah c'est intéressant que ça marche avec 3.6.2 et pas 3.7.2… peut-être qu'une mise à jour de #Jython a cassé quelque-chose ? Mais sinon pourquoi ne pas le faire via le service de réconciliation plutôt ? (en réconciliant les Qids, puis ajouter une colonne à partir des valeurs réconciliées, et utiliser la propriété "Sfrwiki" pour obtenir les titres dans fr.wiki)

@daieuxetdailleurs @Ettore_Rizza ah c'est intéressant que ça marche avec 3.6.2 et pas 3.7.2… peut-être qu'une mise à jour de #Jython a cassé quelque-chose ? Mais sinon pourquoi ne pas le faire via le service de réconciliation plutôt ? (en réconciliant les Qids, puis ajouter une colonne à partir des valeurs réconciliées, et utiliser la propriété "Sfrwiki" pour obtenir les titres dans fr.wiki)

@daieuxetdailleurs @Ettore_Rizza ah c'est intéressant que ça marche avec 3.6.2 et pas 3.7.2… peut-être qu'une mise à jour de #Jython a cassé quelque-chose ? Mais sinon pourquoi ne pas le faire via le service de réconciliation plutôt ? (en réconciliant les Qids, puis ajouter une colonne à partir des valeurs réconciliées, et utiliser la propriété "Sfrwiki" pour obtenir les titres dans fr.wiki)

@daieuxetdailleurs @Ettore_Rizza ah c'est intéressant que ça marche avec 3.6.2 et pas 3.7.2… peut-être qu'une mise à jour de #Jython a cassé quelque-chose ? Mais sinon pourquoi ne pas le faire via le service de réconciliation plutôt ? (en réconciliant les Qids, puis ajouter une colonne à partir des valeurs réconciliées, et utiliser la propriété "Sfrwiki" pour obtenir les titres dans fr.wiki)

The many wonders of supporting a Python2.7 project in 2023...

Thank, Jython!

#python #jython #ghidra

The many wonders of supporting a Python2.7 project in 2023...

Thank, Jython!

#python #jython #ghidra

The many wonders of supporting a Python2.7 project in 2023...

Thank, Jython!

#python #jython #ghidra

The underlying source code is here, if you want to try registering pairs of images with a non-linear transformation such as a thin-plate spline, on the basis of blockmatching features:

https://github.com/acardona/scripts/blob/master/python/imagej/examples/blockmatching_elastic_registration_X-ray.py

#FijiSc #jython #ImageProcessing #java

The underlying source code is here, if you want to try registering pairs of images with a non-linear transformation such as a thin-plate spline, on the basis of blockmatching features:

https://github.com/acardona/scripts/blob/master/python/imagej/examples/blockmatching_elastic_registration_X-ray.py

#FijiSc #jython #ImageProcessing #java