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

Python is an ‘equalizer’ which can help every part of a data operation to work together. Python is now the most popular language for data science, used by 15.7 million developers globally.

A study conducted by the Institute of Electrical and Electronics Engineers (IEEE) put Python at the top of the list of favorite languages among such contenders as Java, JavaScript, C++, and Go.

Guido van Rossum, who created popular programming language Python 30 years ago, has outlined his ambitions to make it twice as fast – addressing a key weakness of Python compared to faster ...

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.

Widely-used Python has now overtaken JavaScript as the programming language developers are most likely to have questions about on knowledge-sharing site Stack Overflow.

The demand for data-driven professionals in healthcare and clinical research continues to grow, making statistical programming a highly rewarding and future-proof role.

Python, the number one programming language in the TIOBE Programming Language Community Index in August, has further solidified its place at the top.