What programming languages are used for artificial intelligence

Menu IconA vertical stack of three evenly what programming languages are used for artificial intelligence horizontal lines. Software is eating the world,” venture capitalist Marc Andreessen famously declared. Someone has to write that software.

There are thousands of programming languages, but some are far more popular than others. When a company goes out to find new programming talent, they’re looking for people familiar with the languages and systems they already use — even as newer languages like Apple Swift or Google Go start to make a splash. Java: Originally invented in 1991 as a programming language for smart televisions, Oracle’s Java is still the most popular language in the world — a position solidified by the fact that Java is crucial to Android app development and lots of business software. C: One of the oldest programming languages still in common use, C was created in the early 1970s. In 1978, the language’s legendary and still widely read manual, the 800-page “The C Programming Language,” saw print for the first time. Python: This language traces back to 1989, and is loved by its fans for its highly readable code.

Many programmers suggest it’s the easiest language to get started with. PHP: This language for programming web sites is incredibly common — some estimates say it powers one-third of the web. A lot of programmers also hate PHP with a passion — Stack Overflow founder Jeff Atwood once wrote, “PHP isn’t so much a language as a random collection of arbitrary stuff, a virtual explosion at the keyword and function factory. It’s older, but it’s still got its users out there. But it doesn’t have much to do with Java besides the name.

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R: This is the programming language of choice for statisticians and anybody doing data analysis. Google has gone on record as a big fan of R, for the power it gives to its mathematicians. Go: Originally designed by Google to build systems at the immense scale needed to power the world’s busiest search engine, it’s since caught on with developers who value reliability and integrity above all else. It’s one of the fastest-growing programming languages out there, too.

Ruby: Like Python, developers like this 24-year-old language because it’s easy to read and write the code. Also popular is Rails, an add-on framework for Ruby that makes it really easy to use it to build web apps. The language’s official motto is “A programmer’s best friend. Groovy: This offshoot of Java has surged in popularity since its 2007 inception, designed to make it easier and faster to write lots of code. And since Groovy integrates just fine with Java code, it’s won over developers at big companies like IBM, Google, and Target. Objective-C: The original C programming language was so influential that it inspired a lot of similarly named successors, all of which took their inspiration from the original but added features from other languages.

It’s still more popular than Apple’s homegrown Swift language, but Swift is gaining fast. Perl: Originally developed by a NASA engineer in the late ’80s, Perl excels at processing text, and developers like it because it’s powerful and flexible. It was once famously described as “the duct tape of the web,” because it’s really great at holding websites together, but it’s not the most elegant language. Pascal: Named for famed philosopher Blaise Pascal, this language was instrumental in the coding of the original Apple Macintosh computers. Eventually, Pascal extended into so-called Object Pascal, where it’s still widely used in systems today. Delphi is seeing its star rise once again as an alternative for building smartphone apps.

With high-profile fans like IBM, expect it to take off even more in 2016. MATLAB: Intended as a mathematical programming language to help teach university students advanced algebra and image processing, it’s also widely used by scientists, engineers, and programmers working in the exploding field of image processing and other artificial-intelligence applications. This article needs additional citations for verification. While fourth-generation programming languages are designed to build specific programs, fifth-generation languages are designed to make the computer solve a given problem without the programmer. This way, the user only needs to worry about what problems need to be solved and what conditions need to be met, without worrying about how to implement a routine or algorithm to solve them. These types of languages were also built upon Lisp, many originating on the Lisp machine, such as ICAD.

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