The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...

For instance, in the current example, the country column will always be a string, and the year column is always an integer. We can verify this by using .dtypes to list the data type of each column: ...

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 Model. This session will feature practical demonstrations, code ...

Why Use Python in Excel? Excel has long been a trusted tool for data management and analysis, but it has its limitations, particularly when working with large datasets or performing advanced ...

This post is designed to spare other SEO pros the same fate. Within it, we’ll cover the Python equivalents of the most commonly used Excel formulas and features for SEO data analysis – all of ...

Python Integration in Excel TL;DR Key Takeaways : Integrating Python into Excel enhances data analysis by combining Excel’s accessibility with Python’s advanced analytical and visualization tools.