12 programming languages ​​inspire the potential of the cloud era

Normally do we need a new programming language? You might think we do not need it. But if you understand the recent trends, your ideas may change. Why did Google use both GO and DART programming languages? Why did IBM, Cray and Red Hat create the X10, Chapel and Ceylon languages ​​respectively?

In the future, whether these 10 programming languages ​​(DART, Ceylon, GO, F #, OPA, Fantom, Zimbu, X10, Haxe, Chapel) can change IT. What is the new programming language that we need to do to meet the creative impulse of some people or the technological evolution of a new programming paradigm?

Review history

If you look back, we can see that the outbreak of the new language divided history into three periods, each linked to the critical point of technological evolution.

There are other important languages ​​beyond the time point: (1) Pascal - 1970, (2) C - 1972, (3) Prolog - 1972, (4) Smalltalk - 1972, (5) Erlang - 1986, Perl - 1987, (7) C #

Will cloud computing use these languages? If you analyze the story behind these new languages, you will see a new and common theme.

Distributed / Parallel Computing

Programming languages ​​available for parallel computing (Chapel by Cray, X10 by IBM), concurrent programming (Clojure, Fantom, Go) and full cloud stack single language (Opa).

Because all cloud computing models distribute tasks across multiple or parallel CPUs running in different regions, today's programming languages ​​are not well suited.

2. Multi-paradigm programming

Support for object-oriented and functional programming languages ​​(Clojure, F #, Fantom, Scala) is simpler than parallelization and purely functional languages ​​do not seem to be very successful. Therefore, you need to try a multi-paradigm programming language.

3 multi-platform programming

Multiplatform programming languages ​​are available not only on the JVM and the CLR (Clojure, Fantom, Scala), but also on several other platforms (Clojure & Fantom on JavaScript engine, Scala on Android, Haxe on several platforms). This is the dream we've been chasing for decades, so that's the best reason to create a cross-platform language.

4. Large-scale programming

Readability, Ceylon, Go, Zimbu, Scala, Meta-programmability (Ceylon, Scala), and Scala (Zimbu) are features of programming languages ​​used to build large applications .

Cloud computing offers almost unlimited computing power, which allows us to build larger, more complex applications. Of course, building large applications requires large teams and easy-to-maintain code. So creating a programming language for large applications is imperative.

5. Client Programming

In place of JavaScript's DART, both client and server languages ​​(Naxe, Opa, Zimbu) naturally have their own unique advantages.

Cloud computing requires client-side code to run seamlessly across multiple client devices, and while JavaScript has become a standard, nobody likes it. Therefore, you need to build a language that is better than JavaScript and suitable for multi-client platforms.

Quick preview in 12 languages

The 12 languages ​​are sorted according to AZ, and the interesting thing is that all 12 languages ​​follow some kind of open source license (the chart does not include HTML5 because it is not strictly a new language and also ruled out Node .js because it's just a server-side JavaScript engine). (Li Zhi / compile)