Confused in finding whether Java or Python suits your programming needs in Machine Learning? Or planning to pick up a new programming language for a hobby? Or wanting to shine in your Machine Learning career? Here are two main trending programming languages of 2021 that are widely used by programmers in Machine Learning : Java & Python. You might even wonder about learning other widely used programming languages, but these two have a variety of features of Machine Learning concepts which make the process of code even more smoother.
First let’s talk about Python :
It is a high-level and one of the top programming languages in recent times for efficient coding. Python is also known for its object-oriented and structured programming that is fully supported on any server to create web applications. Developers can build robust applications with the help of Python due to its English-like syntax. This feature helps them to read and understand the code easily, without much trouble. There are many employees who do not have a technical background and are just beginners but have to learn Python for professional careers— Python is very easy to pick up and learn in a short span of time. There is a need for fewer lines of code to perform than C++ or Java. Python has a vast array of machine learning libraries and frameworks than other languages. Some of the popular libraries include, Numpy
So if you’re just starting out, Python could be a great choice!
Next, let’s come to the next application builder, ‘Java’ :
Java is used for internet-based applications as a simple and efficient coding language. It is known as a dynamic programming language that is also easy to learn for beginners and can be written, compiled, debugged, and learned faster. Developers can create modular programs and reusable code with Java.
Java isn’t a particularly popular language for machine learning today, but it does have the excellent Weka framework, similar to Python’s scikit-learn. Some of the popularly used Machine Learning libraries in Java are,
- Apache Mahout
- Spark MLlib
- The Encog Machine Learning Framework
Java is an object-oriented programming language to have a few implementation dependencies from developers. So it also has a scope for Machine Learning applications, with lesser features than Python.
Differences between Python & Java
Here are few key differences between Python and Java in Machine Learning :
|Python is known for its potential in experimentation.||Java is popular for production code.|
|Python has fewer lines of code.||Java has longer lines for code.|
|Python consists of fewer frameworks.||Java shows a large number of frameworks for developers.|
|For beginners, the syntax of Python is easy to remember without any potential error owing to its similarities with human language.||The syntax of Java is very complicated to understand and holds a chance of committing errors in lines.|
|Python is known as the only interpreted coding language.||Java is a combination of a compiled and interpreted coding language.|
|Python uses indentation to distinguish code into different blocks.||Java uses second brackets to mention the beginning and end of each function and class.|
|Python provides more string related functions to the developers.||Java has lesser string related functions compared to Python.|
|Python is more preferred for scientific and numeric calculations, machine learning, AI, Data Science, and many more.||Java is used for desktop GUI apps, especially web application services.|
So to conclude whether choosing Java or Python, it purely depends upon the developer’s programming needs as each language has its own specific features.
That being said, it has been observed that the demand for Python is thriving in the global tech market and tech-savvy developers prefer to use this programming language over other ones, and Java is generally faster and more efficient than Python because it is a compiled language.
Source : Analytics Insight