For data analysis, the cornerstone package in Python is “Pandas”. It allows you to work with data in the same table format as R and makes it easy to tackle missing data, form new columns and ...

While Python has become the go-to language for data scientists and machine-learning applications, VS Code – Microsoft's lightweight code editor that works on Windows, macOS, and Linux – has ...

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

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 ...

Meanwhile, Wordcloud is a word cloud generator. This allows you to automate certain tasks with Python in Excel, which can be really useful for data analysis and visualization.

Xarray, a library for working with multi-dimensional arrays, is a powerful tool for scientific computing and data analysis. It offers a pandas-like interface, making it easier for developers to ...

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.

Some are about actual number-crunching; others make it easier for Pythonistas to write fast code optimized for those jobs. Python data science essential: SciPy 1.7 ...