Working with CSV files inside Python
There are several reasons we may need to export the data in our application. One of the reasons may involve analyzing that data – for example, we may need to understand the demographics of users registered on the application or extract patterns of application usage. We may also need to find out how our application is working for users to design future improvements. Such use cases require data to be in a format that can be easily consumed and analyzed. Here, the CSV file format comes to the rescue.
CSV is a handy file format that can be used to quickly export data from an application in a row-and-column format. CSV files usually have data separated by simple delimiters, which are used to differentiate one column from another, and newlines, which are used to indicate the start of a new record (or row) inside the table.
Python has great support for working with CSV files in its standard library, thanks to the csv module. This support enables...
