My Third Week: Starting Pandas (26 April-5 May 2025)

Overview
Starting this week, I began learning Pandas and practiced data manipulation similar to what I do in Excel. I also learned how to visualize data using tools like Matplotlib and Seaborn.

Daily Plan

1. installing Pandas + Understanding DataFrame - Pandas 10-minute Complete Guide
2. import CSVm View columns, Filter rows
3. Extract specific team/Player data
4. Calculate group averages(team scoring averages, etc)
5. Practice: Calculating EPL Team Winning Percentage
6. Visualization Taste: Getting Started with Matplotlib and Seaborn
7. Mini Project: Create a Football Stats Report - Pandas + Matplotlib

Reflection
As I started learning Pandas, I was able to study the basics of building a sports analysis program in earnest. The deeper I delved into coding, the more I realized that programming requires creativity. It also made me question whether I could actually create a framework for a sports analysis program. Still, I want to see it through to the end.