Some battles seem unwinnable and have apparently been raging forever.
Star Wars vs. Star Trek. Cats vs. dogs. Apple vs. Samsung.
But when it comes to software development, different conflicts tend to come up:
Quality vs. time. Time vs. cost. Cost vs. quality.
These concerns play a key role in choosing the programming language for your project, which is one of the first major decisions you have to make.
As a Python software house, we are intimately familiar with the challenge of contrasting Python with other languages:
Python vs. Golang. Python vs. Node.js. Python vs. Java.
In this article, we’ll focus on the last one.
Granted, such comparisons aren’t as set in stone as they may appear. It’s usually a little more complicated than a cut-and-dry list of pros and cons.
For example, building an MVP in Java can take months, while Python gets you the same results in weeks. And yet, Java is still popular with big banks and fintechs. Are they justified in their choice?
There’s a lot more to the story. Each language has different use cases, and you should look at what matters most to you when you make your choice.
Without further ado, let’s break down in detail how Python compares to Java.