Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

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

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.

Anaconda provides a handy GUI, a slew of work environments, and tools to simplify the process of using Python for data science.

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 ...

Some people in the Python community have wondered whether Python has been pulled too far towards data science, potentially undermining its usefulness as a general-purpose programming language.

Neptyne, a startup building a Python-powered spreadsheet platform, has raised $2 million in a pre-seed venture round.

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.