We’ve come a long way from the days when Sun Microsystems first pioneered the use of the Java programming language for emerging Internet uses like web design.
However, some close to the computer science field still consider Java to be holding its own against other programming languages.
A new report on ZDNet shows how Java remains the most popular language for at least some types of projects:
“JetBrains’ survey of almost 20,000 developers found on the other hand that JavaScript is the most used overall programming language,” writes Liam Tung.
The article does acknowledge the rise of Python, which has been extremely useful in all kinds of machine learning projects and other types of code work for modern systems.
In particular, Python’s compatibility with SciKit, Numpy and mathematical packages is widely accepted as a standard for machine learning algorithm development.
By contrast, Java has been around so long that many would consider it to be somewhat of a legacy option.
Still job has its applicability to modern times.
“When it comes to Machine learning, you might be thinking other programming languages such as Python, R, etc,” writes Aayushi Johari at Edureka, “but let me tell you that Java is not far behind. Java is not a leading programming language in this domain but with the help of third-party open source libraries, any Java developer can implement Machine Learning and get into Data Science.”
Johari further describes the JavaML utility as “a collection of machine learning algorithms where it has a common interface for each type of algorithm.”
What’s clear is that programmers are using a small pack of competitive languages to craft the ML and AI programs of the next stage of our evolution in IT. Knowing how developers create next-gen applications can help investors to stay on top of due diligence in this sector.
