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

Positron is Posit's new, free IDE for data science. Users can work with Python and R. It explicitly does not replace RStudio.

Python data science essential: SciPy 1.7 Python users who want a fast and powerful math library can use NumPy, but NumPy by itself isn’t very task-focused.

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 ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Another reason self-paced learning is so effective is that it mirrors how professionals work in real life. Data science ...

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 ...

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.