How to Read and Analyze .data Files in Python Using Pandas

JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy to read and write. It is widely used for exchanging data between web servers, web applications, and mobile apps. Here are some benefits of using JSON:

Dataframe Manipulation with Python and Pandas: Accessing Values Between DataFrames

Understanding the Impact of Dict Ordering on Cross-Platform Code Behavior: A Guide to Consistent Python Execution on Windows and CentOS

Splitting Strings into Multiple Columns Using Pandas with str.split()

Counting Sequential Entries in a Column While Grouping by Another Column in Python

Here's a refactored version of the code with proper indentation, comments, and a clear structure:

How to Create Synthetic Timestamps with pandas and Format them in Desired Ways

Reading Multiple Sheets from Excel Files in a Folder Using Python: A Robust Solution

Removing Unwanted Parts from Strings in a Column with Pandas