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

Overview: Free datasets are essential for practice, research, and AI model development.Platforms like Kaggle, UCI, and Google Dataset Search remain top choices ...

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.

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 projects make data science easier to under ...

Did you know Python is known as an all-rounder programming language? Yes, it is, though it shouldn’t be used on every single project, You can use it to create desktop applications, games, mobile ...

Useful Libraries for Data Analysis Whenever I start a data analysis project, I like to have at a minimum the following libraries installed: Requests. Matplotlib. Requests-html. Pandas.

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

Learn Python basics in just 20 minutes! From installation to data analysis, this guide covers everything you need to start coding today.

Style analysis helps you interpret how funds are likely to behave. Copy and paste these code snippets to evaluate investments for style drift.