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

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

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.

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.

Data scientists can expose their work to Excel users with Python code and data available in Jupyter notebooks. Functions in a notebook can be decorated by a standard Python decorator syntax to ...

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.