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

One of Python's best features is the number of libraries you can use with the language. Not only does Python come with lots ...

New AI agents handle pipeline creation, data science workflows and analytics queries autonomously, potentially reshaping how enterprise data professionals spend their time.

The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are primarily designed for business and financial calculations. You can perform ...

PySAL, the Python spatial analysis library, is an open source cross-platform library for geospatial data science with an emphasis on geospatial vector data written in Python. It supports the ...

🚀 Version 0.10.1 out now! See release notes here. pyGAM is a package for building Generalized Additive Models in Python, with an emphasis on modularity and performance. The API is designed for users ...

BANGKOK (AP) — A 64-year-old woman was preparing to do her evening dishes at her home outside Bangkok when she felt a sharp pain in her thigh and looked down to see a huge python taking hold of her.

Discover why Python is the preferred tool for statistical analysis in data science with its user-friendly syntax and powerful libraries.

Learn key steps to validate statistical analysis results using Python's powerful libraries, ensuring accuracy and reliability in your data-driven decisions.

Python developers can improve coding skills with these 10 essential Python built-in functions that make your code more efficient and elegant.