All programming languages have their proponents, but not all are equally equipped with libraries for data science and machine learning. (Image: Igor Stevanovic, Getty Images/iStockphoto) ...

The java.util.function package contains well over 40 different components, but if you can garner a good understanding of consumers, predicates, functions, unary types and suppliers, knowledge of the ...

According to statistics from Liepin.com, 90% of big data positions require at least one programming language to be mastered. From a data analysis assistant earning 8k a month to a data scientist ...

This tutorial is an introduction to socket programming in Java, starting with a simple client-server example demonstrating the basic features of Java I/O. You’ll be introduced to both the ...

In an era where technology is changing rapidly, whether it’s Artificial Intelligence (AI), Big Data, or Cloud Computing, which have become widespread in daily life, these all are related to ...

In most programming language popularity indexes JavaScript, Java, and Python are the most popular languages. Data scientist, data analyst, technical architect, DBA and network engineer have also ...

This tutorial launches a short series introducing data structures and algorithms. In Part 1, you’ll learn what a data structure is and how data structures are classified.

Twenty-year-old Java, despite being long in the tooth, is still the most popular programming language for developing enterprise applications. The TIOBE index, which is one measure of the popularity of ...

Java has been a programming stalwart since its inception in 1995, and remains one of the most popular languages for web applications and big data processing, however, Kotlin, a relatively new kid ...

With Java running critical applications the world over, the nearly 25-year-old programming language must balance its community’s affection for its syntax with new trends.