A *results table* is a structured format used to display the output of a program or script in Python. It is a way to present data in a clear and organized manner, making it easier to understand and interpret. Results tables can include variables, their corresponding values, and sometimes explanatory notes to help interpret the data. They are commonly used in programming to summarize the outcomes of functions, loops, or other operations.

One of the most popular libraries for creating results tables in Python is **pandas**. Pandas provides a convenient method for displaying results, which often displays data in a tabular format. This makes it easy to see patterns, trends, or anomalies in the data. For example, after running a function or analyzing data, you can use pandas to generate a results table that shows the output in a structured way.

Formatting and readability are important when presenting results tables. A well-formatted table can make the results more understandable, especially for non-experts. You can use Markdown or HTML to improve the presentation of results tables, making them more visually appealing and easier to read.

However, results tables have limitations. They are static and do not allow for dynamic updates or changes. Once the table is created, it cannot be modified or updated in real-time. This is a limitation when working with dynamic data or scripts that require frequent updates.

In conclusion, results tables are a useful tool for presenting the output of a program or script in Python. They are easy to create and can be formatted to improve readability. However, they have limitations in terms of static nature and lack of dynamic updates.