Python, Julia, and Rust are three leading languages for data science, but each has different strengths. Here's what you need to know.

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

The Python programming language is a hit for data science and machine-learning projects on high-powered hardware, but one of its weaknesses is speed. Anaconda, a company that provides a leading ...

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job.

Github has grown to more than 40 million developers and its growth is getting a big boost from data science, artificial intelligence and machine learning repositories.

I've identified collaboration as one of the critical gaps that organizations must bridge to transform their data science success rates.

Coursera offers a variety of training options for the growing data professional. Explore top data science courses from Coursera now.

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.