The problem with them is you need to make quite a lot of effort to use them:
The tools, which are still popular, are old. But this made Python popular 20 years ago. )Īll of this makes high level languages increasingly popular in enterprises and daily use.Īs I stated at the beginning one of the features which contribute to Python success is its ability to easily connect to compiled libraries, which makes it perfect as a glue language.
#Fastscripts python software
New techniques and knowledge allows us to produce highly efficient runtimes for dynamic languages (JavaScript V8, LuaJIT, Racket, Common Lisp.), which successfully compete with tremendous software frameworks (JVM.
Jim Treavor wrote some summary about this. Moreover people still can’t invent good (far to say perfect) type system. So in the end you need to write tests, which in the same time are sufficient to test typing and easier to write using dynamic languages. For those I would say, after Guido van Rossum: “ who produces code without test”? Static languages can handle some errors during compile time. Someone can argue that this behaviour produces buggy code. Nowadays high level languages allow to write simple code with greater flexibility.Ĭreating applications faster makes people choosing dynamic languages, where you don’t need to specify types and waste time to fighting with them (all the boilerplate code about interfaces just to satisfy compilation process).
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