In the world of high-level programming languages, developers constantly deal with ** [object/struct]** types of highly ...

Object-oriented systems are usually partitioned into layers of related responsibilities and only dependencies in one direction are allowed, from higher layers (more specific, less reusable) to lower ...

Java programmers use data structures to store and organize data, and we use algorithms to manipulate the data in those structures. The more you understand about data structures and algorithms, and how ...

All of Java's I/O facilities are based on streams that represent flowing sequences of characters or bytes. Java's I/O streams provide standardized ways to read and write data. Any object representing ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

The core idea behind JPA as opposed to JDBC, is that for the most part, JPA lets you avoid the need to “think relationally.” In JPA, you define your persistence rules in the realm of Java code and ...

But how many developers understand how HashMap works internally? A few days ago, I read a lot of the source code for ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...