Here's an explanation of the code with examples:

Avoiding the OSError: [Errno 22] Invalid Argument Error When Working with Excel Files in Python

Using Fuzzy Matching with Pandas: Returning Unique IDs from Matched Names

Automatically Parsing Lines of Dataframe Extracted from JSON with Python and Pandas.

Calculating Sum of Overlapping Timestamp Differences and Duplicate Time in Python for Efficient Session Duration Analysis

Calculating Coordinates Inside Radius at Each Time Point: A Comparative Analysis of Two Methods Using Python and Pandas.

Working with Multiple CSV Files in Pandas: A Deep Dive into itertools.starmap for Flexible and Efficient Data Reading

Here's a more detailed explanation of how to achieve this using Python:

Selecting Dataframe Rows Using Regular Expressions on the Index Column

Creating a Tracker Column with Custom Conditionals in Pandas DataFrame