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ARTIFICIAL INTELLIGENCE

Top 6 Programming Languages For AI Development

What are the best programming languages for AI? Undoubtedly, everyone is searching for the same!

Looking at the rapid acceleration of Artificial Intelligence today, one might not believe that it was stagnant for decades altogether. AI has so much more to evolve into, and we’re only at the stage of “developing AI” now. However, the phase of “self-aware AI” (machines that outperform humans in cognitive tasks and are near-equal to humans in thinking terms if not better) is just a touch away. Several job opportunities are skyrocketing in AI. In addition, there is an ever-increasing demand for skills for AI. Owing to all these, AI has become one of the most important career options for data science aspirants and software engineers.

programming languages for Ai

If you’re an engineer/engineer-to-be and are looking to learn more about the field of AI, here’s a starting point for practical learning and putting some AI knowledge to good use. There are various programming languages that people code in, but what’s the best out there? And why is it the best? Read on to know more. Oh, but before that, here are some applications of AI, that might give you a sense of the importance of AI in today’s world:

  • Virtual assistants like Siri, Cortana, or Bixby
  • Email spam filters
  • Entertainment recommender systems (Netflix, Amazon Prime Video, etc.)
  • Chatbots, smart searches
  • Personalized ad targets
  • Photo recognition etc.
revenue from artificial intelligence

Make sure you understand machine learning fundamentals like Python, SQL, deep learning, data cleaning, and cloud services before we explore them in the next section. You should consider joining GUVI’s Machine Learning Career Program, which covers tools like Pyspark API, Natural Language Processing, and many more and helps you get hands-on experience by building real-time projects.

Also, if you would like to explore and learn Python through a Self-paced course, try GUVI’s Python Self-Paced course.

Table of contents


  1. Top 6 AI Programming Languages
    • Python-the best AI Programming Language on our list
    • Java
    • LISP - one of the best programming languages for AI
    • RLanguage
    • Prolog
    • Julia- one of the best programming languages for AI
  2. Factors that determine the best programming languages for AI
    • Standard Libraries
    • Ease of coding
    • Open-source and free
    • User Community
  3. Conclusion

Top 6 AI Programming Languages

1. Python-the best AI Programming Language on our list

python - best programming language for AI

Python (learn Python here) can easily be called the best programming language for AI, thanks to its massive user community and in-built libraries like TensorFlow, NumPy, Pybrain, etc. Even for coding unrelated to AI, Python is heavily used. Its syntaxes are one of the easiest to understand and super short. Python is free, open-source, and platform-independent. One shortcoming that most people who code in Python can relate to is the fact that Python is an interpreter-based language (line by line error correction).

2. Java 

java - programming languages for ai

Java (here’s a Java course for you) is another on the list of best programming languages for AI. It’s known for its user-friendliness, fast debugging, and production of amazing graphics which might be highly important in the field of AI. The Virtual Machine Technology that Java has, makes it easier to implement the code in various Java-supported platforms. The main part of AI where we highly implement Java is Data Analytics. Most search engine algorithms are also coded in Java. One major downside when it comes to Java is that it takes up more memory because of the huge Virtual Machine.

3. LISP - one of the best programming languages for AI

lisp - programming languages for ai

LISP is one of the oldest programming languages ever. It was developed in 1959 when it was the “winter” period for AI (the field was stagnant between the 1950s and 1980s). And when AI came into the picture again, it was first coded in LISP. Many people who love things vintage still code in this language. It doesn’t have a massive standard library collection and has a weird syntax because it’s been there for a long time, but it still has a massive user community, which is why it’s on the list. 

4. R Language

R - programming languages for AI

R is a fairly new programming language that always stands in comparison to Python. It’s gaining a following and is even better than Python in a lot of aspects like handling large data better, for instance. R isn’t used for general purposes because it was built to solve statistics-related problems in particular. Therefore is curated just for AI. No other programming language is as efficient as R in this regard. Here’s an R course that you need to check out!

5. Prolog 

prolog - programming languages for ai

Prolog stands for “programming in logic” and is again another old programming language. This language mainly focuses on pattern matching, which can prove highly useful in the Deep Learning part of AI. If you aren’t a procedural programmer and think extremely logically, you should give this language a shot. It might seem like a bizarre language if you’re from a C/C++ background, however.

6. Julia- one of the best programming languages for AI

julia - programming languages for AI

Julia was developed by MIT. It was intended to carry out complex numerical computations, which is extremely important in AI. One major advantage when it comes to Julia is the fact that you can transform algorithms from research papers into code effortlessly. With an added advantage of losing nothing in the process. It’s gaining immense popularity right now and is open-source too, which makes it one of the best languages for AI. 

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Factors that determine the best programming languages for AI

There are several factors at play when it comes to determining the best programming languages for AI. There is no best programming language because there are several shortcomings in every language, which brings us to talk about the best programming languages (in plural). Here are some of the factors that are considered -

Standard Libraries

One of the most important things when it comes to coding for AI is the standard libraries that programming languages have. These are in-built blocks of code that need not be typed in again and can be accessed by valid syntaxes in each programming language. Standard Libraries have the definitions of most commonly used algorithms, data structures, and mechanisms for input and output, among other complex computations. Having an abundance of standard libraries makes coding for AI much easier and faster. 

Ease of coding

Programming languages back in the day were extremely long and complex. With the progress of time, however, they’ve become easier, and today we have a huge number of languages that are extremely easy to learn/understand and short to code in. It is important for people to not have difficulty in understanding the syntaxes since the logical part when it comes to AI is difficult in itself. 

Open-source and free

Most programming languages that are widely popular today are open-source and free. We need to be able to develop the language too as time progresses and keep it up-to-date by adding newer libraries, for instance, and tweaking other aspects of it. This can only be possible if the language is open-source. If it isn’t, the language is going to go out of date soon which isn’t desirable considering the rapidity of the growth of AI.

User Community

The user community of a programming language plays a crucial role in determining the best language. Sharing of code, asking doubts to peers/colleagues if any, completing projects quickly, and coordinating with other programmers, among many other things can be extremely easy if the programming language is popular and common.

Kickstart your Machine Learning journey by enrolling in GUVI’s Machine Learning Career Program where you will master technologies like matplotlib, pandas, SQL, NLP, and deep learning,  and build interesting real-life machine learning projects.

Alternatively, if you would like to explore Python through a Self-Paced course, try GUVI’s Python Self-Paced course.

Conclusion

If you noticed, each programming language mentioned in the list is better than the others in carrying out specific tasks. Furthermore, they focus on different challenges of executing AI concepts. Choose your best programming language for AI carefully. You might choose it based on your needs. And switch between languages to complete the projects that you have with better efficiency.

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  1. Top 6 AI Programming Languages
    • Python-the best AI Programming Language on our list
    • Java
    • LISP - one of the best programming languages for AI
    • RLanguage
    • Prolog
    • Julia- one of the best programming languages for AI
  2. Factors that determine the best programming languages for AI
    • Standard Libraries
    • Ease of coding
    • Open-source and free
    • User Community
  3. Conclusion