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

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 ...

With organizations increasingly turning to data science to derive business value, the tools that support the work are proliferating. Here are the key tools successful data scientists rely on.

New tools bundle data cleanup, drag-and-drop programming, and the cloud to help anyone comfortable with a spreadsheet to leverage the power of data science.

Data science is an interdisciplinary field of study that uses modern tools and techniques to extract meaningful information, find unseen patterns, and make business decisions from structured and ...

Oracle Cloud Infrastructure supports some of the standard data science tools, using R, Python and Matlab, so that the information from these databases can be turned into notebooks, reports or ...