Programming languages are versatile and AI depends on them to trigger commands, display content and monitor systems. Today, businesses wanting to accelerate growth are integrating AI into their systems to optimize and automate routine processes that consume a lot of time and money.
AI makes faster business decisions through utilizing collected data and customer input. If your business wants to integrate AI, a programming language or several of them are necessary. The one you choose is dependent upon your business needs.
All programming languages are not equal and if you are at a loss on which one to choose, read on. Below we look at 6 of the best languages, what makes them stand out and where they are applied.
Ready? Let’s dive straight in!
Python
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Python is simple, flexible, scalable and easy to learn thanks to its simple syntax. Indeed, many experts recommend it to beginners looking to get into the coding world. Most coders also describe Python as being more intuitive than the rest.
Since it is easily understandable by humans, making models for machine learning from it is generally easier than most other languages, especially with the numerous Python scripts available today.
Python is an open-source language that is also integrated into web services and GUI-based desktop apps, has a massive library of toolkits and standards that can be easily applied in machine and deep learning.
JavaScript
JavaScript is the core of the world wide web. It was initially known as Live Script and most mistake it for Java though they are different. 97.6 percent of websites use it as a client side-programming language.
There is no need of downloading extra software, JavaScript has in-built web browsers. It is also used to build progressive web apps and dynamic websites.
JavaScript’s functionality is extended through a variety of add-ons and programmers combine it with Node.js to generate web content that is useful in building apps and games.
Java
This language has an object-oriented structure and is used alongside business applications in the android operating system. More than 3 billion devices are using apps built by Java.
It is mostly associated with developing client-server apps that are used in businesses. When it comes to big data and web app development, key companies that use it are Google, YouTube, Twitter and Amazon.
Java is mostly designed as a loosely coupled coding language and this means an app written in the language will run on any Java supported platform. In fact, it is commonly referred to as the programming language that writes once and runs everywhere.
C
One of the first programming languages developed and is the base of other languages. Other people fondly referred to it as “the mother language.” C programming is a procedural language with a static type system.
C runs on most devices, making it a suitable candidate to embed on medical devices and automobiles. Another thing to note is that it is used to develop creative apps used for graphic design and photography.
C programs can be moved across platforms with minimal changes and its speed is faster than most languages. It supports high and low level languages and is therefore considered a middle level language.
C#
C Sharp was developed by Microsoft as a variant of C that is faster and more secure. The creator of C# claims that it is more like C++ than Java. Microsoft integrated it into their framework which assists development of Windows apps, mobile devices and plug-ins.
C# is a multi-paradigm language that supports the concepts of object-oriented programming. The .NET framework uses it as one of their major languages.
It contains fewer libraries and has a faster execution time which means it can be used in embedded programming. C# is suitable for apps on Windows, android and IOS.
C++
This is an extension of C and works well for multi-platform and multi-device systems. Many consider it to be the language for computer games and mathematical simulations. As one of the fastest languages, it is highly capable of transferring messages at a hardware level.
This programming language is widely flexible, making it perfect for resource intensive applications. C++ is efficient because it converts user code to machine readable code. Most deep learning and machine learning libraries are written in C++.
Over to you!
If your company is really in need of incorporating AI into its processes, we highly recommend learning about one or more of these programming languages. If you have the right development team at hand, there is no limit as to how far your business can grow. Good luck!