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

Developers are still using Python for data tasks and AI, but many are still using older releases, putting productivity at risk.

It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.

“Python is a very easy language to learn for non-programmers,” said Peter Wang, president of Continuum Analytics. That’s important because most big-data analysts will probably not be ...

New global survey shows that Python developers love machine learning, but just don't call them data scientists.

Compare the Python programming language and R to see how they differ and which is better for data science.

Discover how Python in Excel transforms data analysis with advanced features. Is it worth the hype? Find out if it’s right for your workflow.

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

Python is the most popular "other" programming language among developers using Julia for data-science projects.

Python is the fastest-growing programming language in the world. Here's why it's a good choice for those who want to learn to code.