Programming Languages: The Future of Coding
The faster, smarter programming, along with fewer bugs, is the promise from the creators of the latest round of languages to capture the attention of programmers. The future of coding requires stability with good practices so that innovations will work. Nowadays, projects are getting bigger. Therefore, we need innovation more than ever.
Increasing automation can yield code worthy of the terms faster, smarter, and bug-free. Those new approaches include more structure and abstraction, which allows the guts of languages to do what programmers used. It can give programmers more leverage to pay attention to the big issues.
Beyond this, there is a little agreement that languages are built for statistical analysis. At the same time, some are to modernize classic languages. Aside from that, some are even not languages at all, but merely preprocessors. Still, all of them are changing on how we write code today as well as laying the foundation for the future of coding.
The following are the five languages that are changing how we tell computers what to do:
R is a programming language, but it is more of a standard-bearer for the world’s current obsession with using statistics to unlock patterns in large blocks of data. More people end up using R inside the IDE as a high-powered scratchpad for playing with data.
Highlights: It has clever expressions for selecting a subset of the data as well as analyzing it.
We all knew Java, and this is not a new language. But Java 8 is a bit different from what we used to. It comes with a new feature aiming to offer functional techniques. It can unlock the parallelism in your code. If you do not use it, you are missing the chance to offer the Java virtual machine.
Highlights: It features Lambda expressions and the concurrent code.
Google decides to build a new language, which will power its server farms. In Go, there are no complex abstractions or clever metaprogramming. It has just basic features specified in indirect syntax. In this way, it can make things easier for everyone on the team. No one has to fret when someone else digs up a neat idea from the language specification.
Highlights: This language is just clean and simple, especially for manipulating data.
Highlights: It has a cleaner code.
MATLAB was once a hardcore language for hardcore mathematicians and scientists who needs to juggle complex systems. Today, as projects getting more sophisticated, it requires complex skills, too. Therefore, MATLAB is finding its way into more applications and programs since developers start pushing deeper into complex mathematical and statistical analysis.
Highlights: It has fast, stable, and solid algorithms for complicated math.
Other programming languages include:
Ultimately, innovations in programming languages can define the future of coding. As the software projects get complicated over time, the languages also find their way to align with the pace of technology. The future of coding depends on how fast and smart languages can offer to sustain the software’s innovations.