When you compare Java vs. Python application development in terms of simplicity, conciseness, security and performance, Java comes out on top in every category.

Unsurprisingly, Python dominated among big data developers that use Apache Spark analytics engine, with 66% citing Python as the language they use with Spark, followed by Java at 34% and Scala at 11%.

This post compares Python vs Java. What are the differences in terms of structure and design? Which is easier for beginners? And what can you do with them?

The same Python developer will then be in a much better position to operationalize the service themselves, which can be a pretty tall task for your average IDE-dependent Java developer.” ...

Java has a lot going for it, but it's not the top language for data science. Java professionals may want to familiarize themselves with Python or R for data science workflows.

Python also snatched second place from Java in developer analyst RedMonk's programming-language popularity rankings in July. However, RedMonk ranks JavaScript as the top language.

A big new developer survey shows that Python has finally passed Java in the programming language popularity wars, propelled by its propensity for use in machine learning and data science projects.

Venkat Subramaniam is a sought-after keynote speaker not only because of his flair for language, but also because of his reasoned perspective on fast-changing programming trends.

Java, Python, SQL, C++, and JavaScript programming skills are most in demand in the workplace, says the HackerRank developer skills report.