Alright, so I decided to tackle this “Boeing Classic Leaderboard” thing today. I’d seen it mentioned a few times, and figured, why not? Let’s see what this is all about.
Getting Started
First things first, I needed to find the actual leaderboard. I did a quick search and found that I need some dataset for boeing classic. I prepared the dataset myself.
I fired up my trusty Python environment. I usually use Jupyter Notebook for these kinds of explorations – makes it easy to see what’s going on step by step.
Diving into the Data
Then, I used pandas, you know, that library everyone uses for data stuff, to read them into what they call a “DataFrame”. Looked pretty messy at first, with scores and player names.
I needed to clean things up a bit. I checked for any missing scores or weird entries. Had to drop a few rows that were incomplete. Data cleaning, always a fun time.
Building the Leaderboard
Now for the main part. I wanted to see who the top players were. Pandas has this nifty sort_values function. I used that to sort the DataFrame by the score column, from highest to lowest. Boom! There’s the leaderboard.
I want to show the top 10 players:
- use head() function.
- reset the index.
- and done.
Displaying the Results
I used a simple print to display the top 10.
Wrapping Up
And that’s pretty much it! It wasn’t super complicated, just a bit of data wrangling and using the right tools. It’s pretty satisfying to take something messy and turn it into something organized and easy to understand. Now I can see who’s on top of that leaderboard!
