Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API,  with Python via the BQL Object ...

The core of the Python data model architecture is the special methods (also known as 'magic methods'). These methods, which ...

Python, with its flexibility, ease of learning, and a large developer community, has transformed the field of data analysis. In this article, we will learn about data analysis using Python.

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 Integration in Excel TL;DR Key Takeaways : Integrating Python into Excel enhances data analysis by combining Excel’s accessibility with Python’s advanced analytical and visualization tools.

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

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks.

Libraries are collections of shared code. They're common in Python, where they're also called "modules," but they're also ...