More importantly, the way Java works begins to get in the way of the algorithm.
First you have to train your eyes not to see semicolons, parentheses or braces. Trying to read and understand this code takes a bit more effort than it did before. The same code is just a bit more verbose in Java than it was in Python or Ruby. To see what I mean, take a look at the JRuby implementation of Hash#fetch: The similarity between Ruby and Python become more obvious when you compare either of them with Java. I think I could become happy using Python if I spent some time learning to use the language – at least if my editor handled whitespace properly! Any additional code or verbosity here is just due to the details of the way Topaz works internally. It’s almost as easy to read this code as it was to read the Rubinius implementation.
The block parameter and invoke_block call here are part of the implementation of Ruby blocks for Topaz. One important difference between the two is that Python doesn’t support closures in the same elegant way that Ruby does with blocks. Aside from some minor differences around whitespace, colons and end keywords, the two languages are quite similar. To me Python really seems like a sister language to Ruby. Let’s see how the same code looks in Python:
HOW TO WRITE C CODE WITHIN RUBY SERIES
PyPy allows Python developers to implement a compiler and virtual machine for their own language using a subset of Python called “RPython.” PyPy converts the developer’s custom VM into C using a sophisticated series of optimizations, and later compiles the C into fast, native machine language. One of the more exciting events this year in the Ruby community was the news that Alex Gaynor had implemented Ruby using Python and the PyPy toolkit.
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