The annual Python Developers Survey shows a programming environment in transition. Data science accounts for more than half ...

Overview: Free datasets are essential for practice, research, and AI model development.Platforms like Kaggle, UCI, and Google Dataset Search remain top choices ...

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.

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

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

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

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.

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.