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 ...

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

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

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

In the data-driven era, data analysis has become a core skill across various industries. Python, with its inherent advantages ...

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

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 ...

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

Data science is often cited as one of the main reasons for Python's growing popularity. But while people are definitely using Python for data analysis and machine learning, not many of those using ...

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.