Java: Data Science Made Easy

Data science in Java

In this book, we will use Java for doing data science projects. Java might not seem a good choice for data science at first glance, unlike Python or R, it has fewer data science and machine learning libraries, it is more verbose and lacks interactivity. On the other hand, it has a lot of upsides as follows:

• Java is a statically typed language, which makes it easier to maintain the code base and harder to make silly mistakes--the compiler can detect some of them.
• The standard library for data processing is very rich, and there are even richer external libraries.
• Java code is typically faster than the code in scripting languages that are usually used for data science (such as R or Python).
• Maven, the de-facto standard ...