Slashdot Mirror
Can Ruby Survive Another 25 Years? (techradar.com)
TechRadar marked the 25th anniversary of the Ruby programming language by writing "there are still questions over whether it can survive another 25 years."
The popularity of the Ruby language has been bolstered for many years by the success of the Ruby on Rails (RoR) web application framework which dominated the web scene, particularly among startups who wanted something that deal with much of the heavy lifting... But RoR, although popular, isn't the superstar that it was and It has faced fierce competition as issues such as scaling have become a greater concern for web companies. The JavaScript framework Node.js, for instance, has become popular as it requires less memory to deal with numerous connections because of its callback functions...
To improve performance further Ruby is introducing JIT (Just-In-Time) technology, which is already used by JVM and other languages. "We've created a prototype of this JIT compiler so that this year, probably on Christmas Day, Ruby 2.6 will be released," Matz confirmed. You can try the initial implementation of the MJIT compiler in the 2.6 preview1... Probably the clearest overview explanation of how MJIT works is supplied by Shannon Skipper: "With MJIT, certain Ruby YARV instructions are converted to C code and put into a .c file, which is compiled by GCC or Clang into a .so dynamic library file. The RubyVM can then use that cached, precompiled native code from the dynamic library the next time the RubyVM sees that same YARV instruction.
Ruby creator Yukihiro Matsumoto says Ruby 3.0 "has a goal of being three times faster than Ruby 2.0," and TechRadar reports that it's obvious that Matsumoto "will do anything he can to enable Ruby to survive and thrive..."
And in addition, "he's thoroughly enjoying himself doing what he does... and his outlook is quite simple: Programming is fun, he's had fun for the last 25 years making Ruby, and at the age of 52 now, he hopes that he'll get to spend the next 25 years having as much fun working on the language he dreamt up and wrote down in -- a now lost -- notebook, at the age of 17."
"We want Ruby to be the language that is around for a long time and people still use," Matsumoto tells another interviewer, "not the one people used to use."
To improve performance further Ruby is introducing JIT (Just-In-Time) technology, which is already used by JVM and other languages. "We've created a prototype of this JIT compiler so that this year, probably on Christmas Day, Ruby 2.6 will be released," Matz confirmed. You can try the initial implementation of the MJIT compiler in the 2.6 preview1... Probably the clearest overview explanation of how MJIT works is supplied by Shannon Skipper: "With MJIT, certain Ruby YARV instructions are converted to C code and put into a .c file, which is compiled by GCC or Clang into a .so dynamic library file. The RubyVM can then use that cached, precompiled native code from the dynamic library the next time the RubyVM sees that same YARV instruction.
Ruby creator Yukihiro Matsumoto says Ruby 3.0 "has a goal of being three times faster than Ruby 2.0," and TechRadar reports that it's obvious that Matsumoto "will do anything he can to enable Ruby to survive and thrive..."
And in addition, "he's thoroughly enjoying himself doing what he does... and his outlook is quite simple: Programming is fun, he's had fun for the last 25 years making Ruby, and at the age of 52 now, he hopes that he'll get to spend the next 25 years having as much fun working on the language he dreamt up and wrote down in -- a now lost -- notebook, at the age of 17."
"We want Ruby to be the language that is around for a long time and people still use," Matsumoto tells another interviewer, "not the one people used to use."
I suspect the scientific community will eventually shift over to Ruby over Python
Unlikely. The reason the scientific community is using Python is that Python has SciPy, a rich and powerful collection of libraries. The heavy lifting in SciPy is done by compiled Fortran library code. Right now a Python program using SciPy is nearly as fast as the same program written in Fortran, and Python is dramatically easier to use. And it probably doesn't hurt that Python added a matrix multiply operator (infix @), just for the benefit of SciPy users.
In science and engineering, Python is now benefiting from network effect, where everyone uses Python because everyone else already uses Python. For Ruby to steal these users it would have to do something dramatically better and to date Ruby hasn't even matched Python. And if Ruby did get an edge on Python I predict that Python would implement something similar and keep its position as the language for science and engineering.
lf(1): it's like ls(1) but sorts filenames by extension, tersely