Python Tools for Visual Studio, which has its first production release today, now supports all four major Python interpreters, CPython, IronPython, Jython, and PyPy. It is available with the free Visual Studio Integrated Shell or as a plugin for Visual Studio Professional.
In the past year or so Python has really been gaining a lot of traction on the JVM, thanks to the recent advancements of Jython. In this news item we'll talk to the Jython project lead about Jython and the state of Python on the JVM.
Bruce Eckel’s recent blog post on the legacy left by C++ and Java generated a lot of reaction. While mentioning some design mistakes, he concludes that both languages have had a significant role in programming languages evolution and an important positive legacy. But is it not too early to talk about their legacy?
Two announcements from Sun on their plans for supporting Python.
In this interview filmed during QCon 2007, Brian Zimmer talks about the architectural challenges he has faced working on a a large web application as senior architect.
Travis Jensen compares Groovy, Jython and JRuby for developing web based user interfaces.
John Rose, a key designer behind Sun's new Da Vinci Machine project initiative, and Charles Nutter of the JRuby project, contrast dynamic language support and optimization on the JVM and Microsoft's Dynamic Language Runtime.
The Grinder is an open source Java load testing framework that makes it easy to run a distributed test using many load injector machines. Its new release brings significant enhancements including integration with a scripting engine (Jython) that allows flexible test recording, script customization and replay.
Recently there has been a lot of news about numerous languages making their way onto the JVM, providing endless possibilities. Python has been around for years and its JVM implementation, Jython, hopes to bring a Python web framework to the JVM. It could prove to be what Rails is to Ruby and Grails is to Groovy.
The Jython team has released the first major release of Jython in 4 years with version 2.2. This version implements the internal architecture of Python 2.2 and features of Python 2.3.