Python remains popular for data exploration, processing and engineering Younger developers are still using the coding ...

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

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”.

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

“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 ...

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.

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.

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.