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

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

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

Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

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

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

How to Use Python to Analyze SEO Data: A Reference Guide Python can help eliminate repetitive SEO tasks when no tools can help you. Here are some practical Python applications for SEO.

The new Anaconda Python Distribution in Excel, which is currently in beta, will bring Python data analysis and data science capabilities to the popular spreadsheet program from Microsoft. The ...

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.

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”.