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

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.

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: ...

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 ...

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.

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 ...