Why Python for Data Science? One of the best features of Python is that it is an open-source language. This means anyone can add to the existing functions of Python.

Python’s data science libraries make it an instant hit among data scientists. From Numpy, Scipy, StatsModels, and sci-kit-learn, Python continues to add data science libraries to its collection.

Introducing Anaconda, a Python distribution for scientific research. I've looked at several ways you could use Python to do scientific calculations in the past, but I've never actually covered how to ...

Threading in Python by Reuven M. Lerner: threads can provide concurrency, even if they're not truly parallel. Using Python for Science by Joey Bernard: introducing Anaconda, a Python distribution for ...

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

Programming languages Python and R are often pitted against each other over which is best for data science and analysis. Both are popular, although Python appears to be much more widely used, at ...

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