System vs Dynamic

System programming languages vs Dynamic programming languages

TCL, Ruby, Python, Perl etc. are all kinds of dynamic programming languages. They are often referred to with the slightly conventional term – scripting languages. These languages differ significantly from the system programming languages like Java and C++.

If we look closely at both these variants we’ll understand that dynamic languages are actually complementary to the system programming languages. They’re designed for solving different kinds of problems. When you use system programming languages you’ll be able to make use of features that work pretty well in creation of complex algorithms and data structures, but you’ll be a worrying lot where compile-time kind of safety is concerned.

Dynamic languages on the other hand make data manipulation pretty easy. This data is pulled from various devices, several user interfaces and all sorts of networks. These languages are highly introspective, typically interpreted and emphasize a lot on extension and integration for addition of new capabilities.

Resultantly, dynamic languages are usually high level languages. The programs created with them have less amount of static code (hence making them compiler friendly) and are often 5 to 10 times shorter than the ones created with system programming languages. Furthermore, as they are open to introspection and are usually interpreted, they’re much easier and faster to develop. However, majority of modern day dynamic languages have features that allow for development of spectacularly large applications too. In fact, many projects make effective use of system programming languages as well as dynamic programming languages.