R vs. Python: Which is better for data science? Though Python has proved more popular than R, that doesn’t mean it’s always better. As with most things in technology, it depends on what you ...

The best map data has, up until now, been proprietary. The costs to build and sustain that data has only grown as the demand for better data has grown.

As a general-purpose language, Python has an advantage over R, Khalusova said. Python is more production-friendly, and it's easier to learn -- both for beginners and those who switch to it from other ...

Tiobe now places R in 21st position and suggests the language isn't benefiting as much as Python from the boom in data science and machine learning. Both languages have become popular among data ...

Bodo.ai, a parallel compute platform for data workloads, is developing a compiler to make Python portable and efficient across multiple hardware platforms.It announced Wednesday a $14 million ...

What are some use cases for which it would be beneficial to use Haskell, rather than R or Python, in data science? This question was originally answered on Quora by Tikhon Jelvis.

If you're a data scientist and need to analyze loads of CSV files for insights into, say, stock-price and market movements, the Julia programming language trumps machine-learning rivals Python and ...

The demand for data-driven professionals in healthcare and clinical research continues to grow, making statistical programming a highly rewarding and future-proof role.