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Make a wise choice!

Artificial intelligence is impacting the future of virtually every industry and every human being. Artificial intelligence has acted as the main driver of emerging technologies like big data, robotics & internet of things and will continue to act as a technological innovator for the foreseeable future.

Strengths of Python are:

ü It offers excellent community support & flexibility for AI engineers

ü Provides platform independence & extensive frameworks for ML & DL

ü It is concise, short & readable that expresses much activity in short clear code

ü It has large set of highly efficient libraries for AI projects

The most popular libraries for Python are:

· TensorFlow

· PyTorch

· Scikit-Learn

· SparkMLlib

· Keras

· MXNet

· Theano

· Pybrain

It’s crucial to note here that Python has exceeded Java & Stack Overflow declares it as the fastest-growing primary programming language.

This is an object-oriented programming language for general-purpose, designed for software development for consumers’ electronic devices, eg: VCRs, TVs, toasters & others. Java is not linked to any specific operating system or hardware & thus is called a platform-neutral programming language. “Write once & run anywhere” goes perfectly for Java. It is one of the leading programming languages globally & has held applicability in the last 2 decades.

Strengths of Java are:

Because of its excellent user-friendliness, flexibility & independent platform, Java has applicability in programming for AI projects in several methods. Some of them are:

· TensorFlow

· Kubeflow

· Deep Java library

· OpenNLP

· Neuroph

· Java Machine learning library

R is a programming language as well as an environment for statistical graphics and computing. R offers many statistical operations like classical statistical tests, linear & non-linear modelling, time-series analysis, clustering, classification, etc. in addition to this, it offers graphical techniques & is therefore very extensible. Since it’s inception in 1993, R language is the implementation part of the S language & thus helps develop data analysis & statistical software.

Strengths of R are:

ü It makes it easier to generate well-designed plots, including formulae & mathematical symbols at the spots where it is needed

ü It is good at dealing with huge numbers, puts itself on a better pedestal than Python

ü The user can tackle several programming paradigms by applying R like vectorial computation, functional & object-oriented programming

AI programming language packages built on R:

Ø Gmodels

Ø ODBC & RODBC

Ø TM

Ø OneR

Widely applied features offered by R:

· COVID-19‘s interactive map was created by applying R

· Makes high-quality graphs

· Many packages enable to extend the functionalities

· Supportive as well as active community

· Efficiently performs tasks in tandem with Fortan, C & C++

It is mainly intended as a declarative language, where logic is expressed as relations (known as facts & rules). Computation & formulation is performed by running a query related to these relations. Its capabilities include Unification, Backtracking & Recursion.

Strengths of Prolog are:

ü It creates an exciting tool for AI development, mainly NLP

ü It shows best results when applied for creating chatbots

In order to understand Prolog, AI engineers must familiarize themselves with some of the essential terms, that helps in its smooth functioning.

List Processing (Lisp) is an acronym, a programming language that was designed for simple manipulation process of data strings in 1958. It is a commonly applied language for AI programming & one of the oldest languages present & still in use. Lisp’s capabilities to do computing with symbolic expressions instead of numbers, dynamic object creation, rapid prototyping, flexibility & garbage collection makes it easier to work with AI programs and projects.

Now, the big question arises as to;

“WHAT’S THE BEST TECHNOLOGY OR PROGRAMMING LANGUAGE TO USE FOR YOUR SOFTWARE DEVELOPEMNT PROJECT?”

Key points to consider while determining optimal programming language for your projects are:

Ø Type of application

Ø Complexity of the application

Ø Company culture

Ø Time to market

Ø Maintainability

Ø Scalability & performance

Ø Security

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