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Java vs Python: Which One is Better-Suited for AI Apps

Comparison between Java and Python for AI App Development

By Ryan WilliamsonPublished 2 years ago 3 min read
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Artificial intelligence has completely changed the world. As this technology continues on its journey to transform how we go about our daily lives, there has been a rapid rise in AI-based apps. Now as more and more companies look to build such apps for their businesses, they are faced with the choice of programming language. Java and Python are the leading choices no doubt but which one should one choose?

Python is a dynamically typed language, whereas Java is a strongly typed language. This implies that Python with a data type of a variable that is determined at runtime. It can also change throughout the life of the program. Whereas with Java, a data type is assigned to a variable while writing the code, and this data type remains the same throughout the life of the program unless it is explicitly changed. It allows ease of usage in the case of Python when it comes to writing the program. Dynamic typing allows a program to be written with lesser lines of code. Python is valued for its simplicity and ease of use. It is well-known to be easier to learn and use. It is generally the programming language that is the first preference for novice programmers.

Well, if you are faced with the same quandary, here is a quick guide to help you make an informed decision:

Java: An object-oriented language, Java is one of the most popular programming languages. It is often used for the development of neural networks, machine learning solutions, etc.

Pros:

  1. Ease of debugging: Java offers a plethora of tutorials to help programmers easily debug Java programs, execute remote debugging, etc. There are also plenty of apps to help coders debug Java apps.
  2. Just-in-time compiler: Java has proven to be considerably quicker compared to other conventional interpreted programming languages. Furthermore, it enables significantly better performance, thanks to the just-in-time compiler.

Cons:

  1. Variable declaration: Java necessitates variable declaration and the use of a semicolon at the end of each statement. This can render coding a tad cumbersome.
  2. More coding: In Java, one must first outline methods and classes before kicking off the coding process. This translates into more lines of code in Java.

Time to look at reasons why Java is a good resource for the development of AI apps:

  1. Java is terrific for large-scale projects because it offers the Swing and Standard Widget Toolkit, enables visualization, and its in-built garbage collector automatically deletes pointless data.
  2. Java delivers apps with better user interactions.

Python: A high-level, open-source programming language, Python is a platform-independent tool that can be deployed for the development of apps across various domains.

Pros:

  1. Libraries: One of the biggest reasons for Python’s popularity as a tool for AI-based apps is the wealth of pre-built libraries it offers, allowing programmers to bypass the process of writing code for everything.
  2. Less coding: Unlike in Java, one does not have to define classes and methods before starting the code-writing process.

Cons:

  1. Speed: Compared to Java, Python is a tad slow because it runs the type check during the run time, thus increasing the time required for execution.
  2. Indentation is a must: Python requires indentation to indicate to what a given block of code belongs.

Now, why Python is good for creating AI-based apps:

  1. Python brings with it a whole lot of high-quality visualization options. For example, libraries such as Matplotlib facilitate the integration of various visual tools to help deliver substantially more effective reports.
  2. Python is also quite simple to read, edit, share, etc., thus ensuring a reduced number of errors as well as the effective exchange of algorithms among other things.

There you have it ladies and gentlemen, some of the key differences between Java and Python as programming tools for building high-quality artificial intelligence-based apps. Of course, both have their own sets of merits and cons but the fact remains that Java does have an upper hand in this department. So, if you too are waiting to get started to build an AI-based app, we suppose it is time to start looking for a trusted Java application development company ASAP.

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About the Creator

Ryan Williamson

A professional & security-oriented programmer having more than 6 years of experience in designing, implementing, testing & supporting mobile apps developed. Being techno geek, I love to read & share about the latest updates in technology.

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