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.

Already using NumPy, Pandas, and Scikit-learn? Here are five more powerful Python data science tools that deserve a place in your toolkit.

Although Julia is purpose-built for data science, whereas Python has more or less evolved into the role, Python offers some compelling advantages to the data scientist.

Data queries written in Python, a commonly used programming language, can grind data analytics platforms to a crawl, but a new platform may finally solve the Python efficiency problem.

Exploring the special relationship among VS Code, Python and data science, which has resulted in nearly 158 million installs of related Microsoft dev tools and numerous No. 1 rankings in various ...

New extension pack bundles wildly popular tools for Python development, assisted by the AI-powered GitHub Copilot and a data wrangler.

To help you in your data science career, I’ve prepared the main Python concepts tested in the data science interview.

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.