anvithachaluvadi / python-challenge_module2challenge

In this assignment, I will apply the concepts I have learned to complete the required PyBank Python activity and, if I wish to stretch my skills even further, the optional PyRamen Python activity. Both activities present a real-world situation in which my newfound Python skills will come in handy.

Module 2 Challenge: python-challenge

Anvitha Chaluvadi

PyBank

In this activity, you are tasked with creating a Python script for analyzing the financial records of your company. You will be provided with a financial dataset in this file: budget_data.csv. This dataset is composed of two columns, Date and Profit/Losses. (Thankfully, your company has rather lax standards for accounting, so the records are simple.)

Background

You've made it! It's time to put away the Excel sheet and join the big leagues. Welcome to the world of programming with Python. In this homework assignment, you'll be using the concepts you've learned to complete the required PyBank Python activity, and if you wish to stretch your skills even further, the optional PyRamen Python activity. Both activities present a real-world situation in which your newfound Python skills will come in handy. These activities are far from easy, though, so expect some hard work ahead!

PyRamen

Background

Welcome to Ichiban Ramen!

Opening a ramen shop has always been your dream, and now it's finally been realized––you're closing out on your second year of sales! Like last year, you need to analyze your business's financial performance by cross-referencing your sales data with your internal menu data to figure out revenues and costs for the year.

This year, you also want to analyze how well your business did on a per-product basis (as you have several choices of ramen) in order to better understand which products are doing well, which are doing poorly, and, ultimately, which products may need to be removed or changed.

You tried doing this type of per-product analysis last year in Excel, but you were not able to keep your reports up-to-date with your current sales data. Therefore, you need to innovate. With more customers and more data to process, you'll need a tool that will allow you to automate your calculations in a manner that scales with your business.

Enter Python! Python provides a wide range of capabilities for handling data, harnessing the power of low-level Python data structures and high-level development libraries, all the while supporting the automation and scalability needs for a growing enterprise.