On this podcast we can hear to Rich Hickey, who
is the designer/ writer of Clojure. The master mind behind Clojure. On this
podcast he talks about Clojure and some other aspects of Lisp Language as well,
he refers to it as a motivation that led him design a new version of the Lisp
language. He explains us how Lisp was considered the basis for Clojure.
At the beginning he gives us a brief
introduction of both languages. He makes an affirmation that says that Clojure
is a dynamic programming language for the gradient boosting machine, but it
also runs in a common language runtime.
Clojure
runs scripts so it is considered a functional language, it runs on JVM. This is
the reason why this programming language can run almost everywhere. The
implementation of its data structures helps to make programming much easier than
Lisp. On the other hand, Lisp programs are presented to the compiler in the
form of data structures as the compiler doesn´t compile text.
Rich Hickey says that Lisp has never become
mainstream as Java or C++ because this language was not designed to be a mainstream
language, it was targeted toward superusers like researchers and smart people
with difficult problems. As a main reason, he wrote Clojure because he wanted a
language with all the power of Lisp but without the isolation problem.
The main differences and common aspects mentioned
in the podcast about these two programming languages are that in Lisp data
structures are mutable, they can change. In Clojure data is immutable. In Lisp,
all the libraries work for the specific data structures, while in Clojure there
is an abstraction of those functions to make this functions work for every data
that presents any kind of sequential structure.
This podcast was very interesting to compare this
programming languages and its scope and limitations .
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