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

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room ...

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

The 10 hottest data science and machine learning tools include Databricks Mosaic AI, Dataiku, PyTorch and TensorFlow.

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

Python was not built specifically for data science workloads, but it does include many features that make it easy to code against data science workloads such as read-eval-print loops, notebooks and ...

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 ...

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.