Writing a chainable CLI For Data Processing

Although some complex datasets or data exploratory require going to Jupyter notebooks, on the other hand, some datasets require simple processing like simple filtering, creating a pivot table.

So you probably end up opening it in a spreadsheet. However if spreadsheets are accommodating, they are difficult to automate and do not offer as many features as pandas.

Find out in this tutorial how to write a command-line interface to wrap some pandas features and automate simple tasks.