Friday, 24 April 2015

Top 5 Cutting-Edge Programming Languages to Learn (New)

These languages are not the obvio-ones, they are but the rapidly growing languages you can ever know. So by learning these languages you will get a cutting edge which you might use in your next project as well !!!!



Laptop keyboard entry


1)Erlang: Functional programming for real-time systems

Erlang began deeply inside the spooky realms of telephone switches at Ericsson when a Swedish programmer started bragging about is "nine 9's" performance by delivering 99.9999% of the performance using  Erlang.
Erlang’s secret is the functional paradigm. Most of the code is forced to operate in its own little world where it can't corrupt the rest of the system through side effects.
 The model also makes it simpler for runtime code to determine what can run at the same time. With concurrency so easy to detect, the runtime scheduler can take advantage of the very low overhead in setting up and ripping down a process.
 If you're building a real-time system with no room for dropped data, such as a billing system for a mobile phone switch, then check out Erlang. 

2)Groovy: Scripting goodness for Java

The Java world is surprisingly flexible. Say what you will about its belts-and-suspenders approach, like specifying the type for every variable, ending every line with a semicolon, and writing access methods for classes that simply return the value. But it looked at the dynamic languages gaining traction and built its own version that's tightly integrated with Java. 

Groovy offers programmers the ability to toss aside all the humdrum conventions of brackets and semicolons, to write simpler programs that can leverage all that existing Java code. Everything runs on the JVM. Not only that, everything links tightly to Java JARs, so you can enjoy your existing code. The Groovy code runs like a dynamically typed scripting language with full access to the data in statically typed Java objects.
Finally, all of the Java programmers who've envied the simplicity of dynamic languages can join the party without leaving the realm of Java.  

3)OCaml: Complex data hierarchy juggler

Some programmers don't want to specify the types of their variables, and for them we've built the dynamic languages. Others enjoy the certainty of specifying whether a variable holds an integer, string, or maybe an object. For them, many of the compiled languages offer all the support they want.
Then there are those who dream of elaborate type hierarchies and even speak of creating "algebras" of types. They imagine lists and tables of heterogeneous types that are brought together to express complex, multileveled data extravaganzas. They speak of polymorphism, pattern-matching primitives, and data encapsulation. This is just the beginning of the complex, highly structured world of types, metatypes, and metametatypes they desire.
For them, there is OCaml, a serious effort by the programming language community to popularize many of the aforementioned ideas. There's object support, automatic memory management, and device portability. There are even OCaml apps available from Apple’s App Store.
An ideal project for OCaml might be building a symbolic math website to teach algebra.

4)CoffeeScript: JavaScript made clean and simple

Technically, CoffeeScript isn't a language. It's a preprocessor that converts what you write into JavaScript. But it looks different because it's missing plenty of the punctuation. You might think it is Ruby or Python, though the guts behave like JavaScript.
CoffeeScript began when semicolon haters were forced to program in JavaScript because that was what Web browsers spoke. Changing the way the Web works would have been an insurmountable task, so they wrote their own preprocessor instead. The result? Programmers can write cleaner code and let CoffeeScript turn it back into the punctuation-heavy JavaScript Web browsers demand.
Missing semicolons are only the beginning. With CoffeeScript, you can create a variable without typing var. You can define a function without typing function or wrapping it in curly brackets. In fact, curly brackets are pretty much nonexistent in CoffeeScript. The code is so much more concise that it looks like a modernist building compared to a Gothic cathedral. This is why many of the newest JavaScript frameworks are often written in CoffeeScript and compiled.

5)Julia: Bringing speed to Python land

The world of scientific programming is filled with Python lovers who enjoy the simple syntax and the freedom to avoid thinking of gnarly details like pointers and bytes. For all its strengths, however, Python is often maddeningly slow, which can be a problem if you're crunching large data sets as is common in the world of scientific computing. To speed up matters, many scientists turn to writing the most important routines at the core in C, which is much faster. But that saddles them with software written in two languages and is thus much harder to revise, fix, or extend.
Julia is a solution to this complexity. Its creators took the clean syntax adored by Python programmers and tweaked it so that the code can be compiled in the background. That way, you can set up a notebook or an interactive session like with Python, but any code you create will be compiled immediately.

                             Thank you for reading this post. Hope you like it :)

 

 



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