The blog post describes a script for plotting the frequency of blog articles published over time in the terminal. It utilizes Python libraries such as collections, dateutil, plotext, and requests to retrieve and process article data from a specified API. The script defines constants like the API URL and date ranges, and employs a year-month generator to ensure all months are represented on the graph, even if no articles were posted. The core function calculates the number of posts per month using a Counter, and the plot is generated with plotext, displaying a bar graph that visualizes the monthly publication frequency. The script is designed to execute only when run directly, using a conditional block to prevent execution upon import, and the resulting plot illustrates the number of Pybites blog posts per month since the blog's inception.