Artificial Intelligence innovations have not just made technological advancements but changed our daily lives too. Discoveries in artificial intelligence have given us personal assistants like Siri and Alexa, to whom we talk every day just like our friends. If you are working on a new artificial intelligence project and still have not decided which programming language you should use, you are in the right place. 

Most of us know that a developer uses various languages to carry out an operation in AI. There is no perfect programming language but let’s check out the best programming language used in AI operations. 

The two programming languages that have been battling to reach the best are Java and Python. However, both programming languages have their pros and cons. Here we discuss the best programming language for Artificial Intelligence. 

Java and Artificial Intelligence

We are all familiar with Java. Java has many usages in Artificial Intelligence operations. Java is undoubtedly one of the best languages for AI projects. Programmers commonly use it to develop several tools. 

Machine learning solutions, neural networks, search algorithms, genetic programming, and multi-robot systems are implemented using Java. The Java community has millions of members worldwide, which shows how extensively this programming language is used. Before we discuss the advantages of Java on AI, let’s check out the basic features. 

• Java is scalable and object-oriented. It can overcome performance limits by adding resources, and it runs on an appropriate application server which is a mandatory feature for AI and ML projects.

• Java is a Cross-platform programming language. The cross-platform features of Java enable you to develop software for several competing platforms by writing a program only once with little or no modification.

• Java is easy to learn, and we can use it easily as it has English like syntax with minimum characters. 

• Reliable community- If you are a beginner, you can quickly learn and create effective solutions as there is always someone who can help you in the community. 

• Free tutorials- You have multiple free tutorials available to learn Java which makes learning easier. 

Why Java for Artificial Intelligence

AI projects are generally large-scale projects requiring deep learning capabilities. Artificial intelligence is highly connected with algorithms and statistics. Appealing graphics and interfaces are crucial in AI projects. This is why Java remains to be a significant language among other programming languages used in AI operations. Getting Artificial Intelligence Training will help you to utilize your knowledge in Java effectively. 

Here are a few advantages on how Java serves on AI projects: 

• Java is a good option for large-scale projects. The built-in garbage collector automatically deletes useless data, facilitates visualization, and incorporates Swing and Standard Widget Toolkit. 

• Appealing graphics and interfaces can be created using Java.  

• Java is multi-platform, and it provides better user interaction.

• Debugging Java applications are readily available and easy to use. If you are a Java developer, you might know that debugging is easy. We have Java tutorials on debugging a Java program, setting up remote debugging in Java and debugging tips.

• Java AI libraries efficiently develop AI and ML operations. The most popular ones include Java-ML, which is a collection of machine learning algorithms. Weka, a machine learning algorithm and MALLET (Machine Learning for Language Toolkit), is used for statistical NLP, cluster analysis, topic modelling, document classification, and other ML applications.

Different Java libraries exist for expert systems, neural networks, natural language processing, machine learning, genetic algorithms, and automatic programming.If you are still not convinced, here are the reasons Why Java is the most preferred AI programming language. 

However, there are also a few disadvantages to using Java. It has a slower execution speed compared to a few other programming languages. It may also require significant adjustments of software and hardware to work on older platforms. Java can be developed more to sort out these drawbacks.

Python and Artificial Intelligence

Python is one of the prevalent and trendy programming languages used by developers today. Its dynamic applicability to a plethora of AI algorithms is a huge asset. Beginners choose it for professionals since it's accessible to code and Python Course has plenty of advantages over other programming languages.  

Let’s check out the basic features of Python.

• Python is a Portable language, and so, if we want to run code on other platforms such as Linux, Unix, and Mac, we can run this code without changing it.

• Python is a high-level programming language and is accessible to code. Python is very easy to learn compared to other languages like C, Javascript, Java, etc. 

• Python supports Graphical User Interface and makes the results more visual.

• Python is one of the most dynamic languages in which a variable is to be decided only at the run time and not in advance.

Python supports other Languages and, by default, supports the execution of code written in different programming languages such as Java, C, and C#.

Why Python for Artificial Intelligence

Artificial intelligence projects require testing and comparing algorithms. An efficient tool for data analysis and data processing units are to be maintained for smooth operations in Artificial Intelligence. AI and ML activities demand a more natural and intuitive ETL (Extract, Transform, Load) process. And yes, Python has tools that can create and maintain these requirements in artificial intelligence.  

Here are the reasons why we should opt for Python in AI

• Python offers good visualization options. Libraries like Matplotlib allow us to build charts, histograms, and plots for effective visualization to create clear reports. 

• Python is very easy to read, change, copy, and share, resulting in minimal errors and efficient exchange of algorithms. 

• Python has excellent prebuilt libraries. 

While libraries like Pandas are used for elevated level information structures and investigation, the Scikit-picture is used for picture handling.

For neural systems, solo and support learning PyBrain is used. 

Keras is used for deep learning and fast calculations and TensorFlow for working with deep learning. There are many more Python libraries that you can use as various tools to carry out different operations.

• Python offers short and comprehensible code that permits engineers to compose robust frameworks

• Python is appropriate for shared performance when numerous engineers are included. 

However, Python has disadvantages. It is not a very good language for mobile development. It can neither handle memory-intensive tasks nor control errors that only show up at runtime. Also, Python is slower than C or C++.

Java vs Python: Which one to choose?

We know a single language with all the tools for artificial intelligence has not been invented yet. But still, which one should we choose among the popular ones? Python is a more productive language than Java. 

Python is a dynamically typed programming language with no need for declaring variables, whereas, in Java, variables are explicitly stated. Python’s growth is in high rise while Java is more concentrated on the role of an enterprise language used for large and complex applications. Python is more suitable for machine learning, artificial intelligence, and data sciences. Python plays a vital role in AI coding language and fast prototyping. While Python is easy to use, Java is more rapid. Programming languages are used to build cognitive applications that vary significantly, and in that case, Python overrules Java for Artificial intelligence. AI is a broad category; the jobs available in this field are more accurate. So, a career in Artificial Intelligence is the most in-demand.If you give preference to Java, here are 5 reasons why you should choose to learn Java Programming.  

Let Us Sum Up

We discussed two major programming languages for AI. Python and Java, like any other programming languages, have flaws to be improved. However, Python has been in the front, grabbing the position of best programming language for years. 

Distinct language is used for different requirements of AI technologies. Python and Java are used for various operations, and we must know their distinctive features. We must choose the correct programming language for the proper function to attain a successful result in the process.