The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, ...

This book provides a thorough introduction to Python, starting with basic operations like arithmetic and variable creation.

Hidden Python libraries can make data analysis faster and easier for large datasets. Tools like Polars, Dask, and Sweetviz simplify data cleaning, modeling, and visualization. Learning new Python ...

This book provides a thorough introduction to Python, starting with basic operations like arithmetic and variable creation.

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can use R-style formulas. First, you need to import statsmodels and its ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to language for statistics, but the "Tidyverse" has given the language a serious ...

Pre-requisites: Participants should be familiar with basic programming concepts, including variable assignment, data types, function calls, and installing packages or libraries. Introductory ...