One of Python's best features is the number of libraries you can use with the language. Not only does Python come with lots ...

Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

Getting to know the Python language For those who don’t know Python at all, the book’s second part is a compressed primer for the language. Aside from covering the basics—Python syntax, data ...

TL;DR Key Takeaways : Python integration in Excel enhances data analysis by combining Python’s flexibility with Excel’s accessibility, allowing advanced analytics and workflow optimization ...

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.

object is handled as a Python str type. int64 is handled as a Python int. Note that not all Python int s can be converted to int64 types; anything larger than (2 ** 63)-1 will not convert to int64.

“Excel is the backbone of data analysis in business; with Python in Excel,” said Benoit Barabe, Corporate Vice President of Microsoft Excel. “We’re extending what is possible for our community and ...

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 ...