The 6 Best Programming Languages for AI – Decide which Language to Choose!

Artificial intelligence is a game-changing technology for the market. It is a promising solution that aims to boost revenues, improve user interaction, and bring lots of other benefits. If you are interested in creating apps and software using AI, be ready for numerous challenges and opportunities. And the first one is to pick one of the numerous programming languages for AI.

The task isn’t simple, but we are ready to cover your back. In this post, our experts talk about the most popular languages for AI programming. Pick the one you like the most and create an application or program that will become a real hit on the market!

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Wondering what is the best language for ai? Well, it is impossible to give a clear answer because each language has its pros and cons. Everything depends on your needs, background, and expectations. Below we will talk about such languages as Python, Lisp, C++, R, Java, and Prolog.

Python

Python coding is extremely popular across programmers thanks to a simple syntax and properly structured construction. When talking about neural networks and machine learning, Python remains one of the leading languages. Thanks to hundreds of libraries, it is possible to build any project: from scientific products to dating apps.

The best way to answer the question of what is python is to talk about its main features: great programming speed, numerous instruments and libraries, both low- and high-level development, and regular improvements.

Python pros and cons

Python IDE is very diverse, but it is not the only advantage that attracts users to the language. More and more people learn python because they know how beneficial it may be. And we can’t wait to share the information with you.

Pros:

  • High productivity
  • Great library support
  • Free
  • Dynamic typing

Cons:

  • Quite slow
  • Not the best option for mobile programing
  • Access to databases

Python ai programming is surely on the rise and if you want to succeed, pay attention to this language. But don’t forget to consider its disadvantages.

Lisp

The next language we want to discuss is Lisp. Online you may find lots of lisp vs python articles, but these languages are different, and we will explain why.

First of all, Lisp is one of the first programming languages and can be considered the pioneer of AI. Actually, after launching lisp AI was born as a term. Nowadays, Lisp is not the most common language for AI programming though it has enough followers.

The main reason why lisp programming is no longer that common is that basic features that made AI development simpler have migrated to languages like Python and C. At the moment, Lisp doesn’t have many libraries and can boast a rather clumsy vocabulary. However, you can still find numerous questions like what is a lisp language because it remains the parent language of AI.

Lisp pros and cons

When reading the above, you might think that lisp programming language is all about drawbacks. However, it is still a range of advantages, so before making a decision, we recommend getting familiar with the pros and cons of the lisp language.

Advantages:

  • Simple to use
  • Powerful macros
  • Good for functional coding
  • Fast SBCL

Drawbacks:

  • The syntax is difficult
  • Not many people use it
  • Has a poor ecosystem

C++

What is c++? You can find similar questions all over the internet, and it’s not surprising. Millions of users learn c++ at this exact moment because they know how powerful the language is—especially considering that AI development involves lots of calculations and requires outstanding speed. The speed which a c++ compiler can ensure. If your project is based on machine learning, this language is surely a great option.

Those who are considering c++ artificial intelligence should first get familiar with the language’s key features: outstanding performance, lots of instruments, numerous libraries, and scalability.

C++ pros and cons

It is difficult to find a language that can boast such a variety of features. For example, you can find tens of C++ IDE (integrative development environments) and choose numerous packages. Even though users often compare c vs lisp, they are rather different. Let us discuss what benefits and drawbacks c++ online can offer.

Pros:

  • Portable
  • Compatible with C
  • Object-oriented
  • Scalable

Cons:

  • Problems with security
  • No garbage collector
  • Uses pointers

R

We are often asked what is r. Not many people know about this language because it emerged not so long ago. However, the r language has quickly gained popularity due to the complex tasks it is able to solve. Actually, it can deal with huge numbers better than Python, and according to the latest surveys, this language is the most popular among developers who regularly work with big data.

R is an open-source language with numerous packages which allow machine learning, offer analytical tools and data mining. However, this language is not suitable for common purposes and is best for products that concern statistics. If you want to implement AI in r and have lots of data to process, be sure that no other language will be that efficient.

R pros and cons

We have discussed the R programming language in much detail and all that is left is to discuss its positive and negative aspects. Let’s start with the benefits:

  • Great graphics
  • Smooth compatibility
  • Lots of packages

Drawbacks:

  • Bad security
  • Quite slow

Java

Java programming is one of the most common fields at the moment, and if you ask developers across the world what is the most popular language, they will surely name Oracle Java. One of the main reasons why this language is selected for creating AI products is a smooth and simple Virtual Machine. It has a great intuitive interface, outstanding speed, and can create good graphics.

What is Java? It is an open-source language that supports lots of libraries and is suitable not only for machine-learning systems but also for robot algorithms, NLP, and much more. Actually, java ai programming can be used in almost any niche and science. This language is good not only for small projects but also for large-scale software because the network is really good for handling massive infrastructures.

Java pros and cons

Java is probably one of the most popular languages at the moment, and it is not surprising considering the number of virtues it offers. However, you should still be aware of the potential drawbacks of the language.

Pros:

  • A convenient java online compiler
  • Secure and convenient
  • Object-oriented
  • Efficient

Cons:

  • Doesn’t look appealing
  • Much memory space
  • Difficult code

Prolog

If you are new to software development, prolog online compiler might be a new word in your library. However, the Programming in Logic language has been on the market since the 1960th and is now used for AI development.

So what is Prolog? It is a logical language that significantly varies from common AI languages. First of all, it operates on automatic backtracking and matching. The developers should specify goals and rules which prevent many enthusiasts from prolog programming.

The most common prolog environment is the processing of natural languages. For example, ELIZA, the first bot, runs on Prolog. This language is rather common when creating research and academic projects, especially those which utilize artificial intelligence.

Prolog pros and cons

Many people want to know which language is a winner in the prolog vs lisp confrontation. However, these languages are different, and it’s hard to compare them. Instead, let us tell you about the benefits and drawbacks of the Prolog language.

Pros:

  • Simplicity of use
  • Offers elegant problem solutions
  • Can manipulate symbolic information
  • Educates itself

Cons:

  • Poor structure
  • Has readability issues
  • Imperfect code

The best programming language for AI

More and more users decide to learn how to program ai applications, and it is not surprising. Artificial intelligence coding is in demand, and you can not only become rich when creating such applications but also building a product of your own.

However, it is impossible to name the best AI machine learning language because the choice greatly depends on your expectations and background. Language choice should be made only after considering the following factors: the niche, end-users, expected size, potential problems, and much more. Moreover, many businesses rely on several languages, each of which solves a particular problem.

We are sure that every case should be treated individually: some may need the fastest programming language, while others – the simplest one. Hopefully, after reading this article, your questions are answered, and you already know where to look further!

Published by Dana Adams
Content Marketing Manager