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

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

I've written a lot about data analysis with Python recently. I wanted to explain why it's been a language of choice. Here are some of the reasons I find Python so easy to use, yet powerful. Python ...

Overview Beginner-friendly books simplify Python, R, statistics, and machine learning concepts.Practical examples and ...

Python is a popular general-purpose language, but it's increasingly favored for statistics, data analysis, and data science. If you have a basic knowledge of statistics, how can you apply that to ...

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

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

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”.

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.

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.