Automate Your Day Job with Python

by Arzu ISIK TOPBAS

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I was using the concepts I've learned to complete two Python activities, PyBank and PyRamen. Both activities present a real-world situation in which my Python skills came in handy.

PyBank

In this activity, I were tasked with creating a Python-Pandas script for analyzing the financial records of my company. I was provided with a financial dataset in this file: budget_data.csv. This dataset was composed of two columns, Date and Profit/Losses.

My task was to create a Python-Pandas script that analyzes the records to calculate each of the following:

• The total number of months included in the dataset.

• The net total amount of Profit/Losses over the entire period.

• The average of the changes in Profit/Losses over the entire period.

• The greatest increase in profits (date and amount) over the entire period.

• The greatest decrease in losses (date and amount) over the entire period.