Okay, so, I gotta tell you about this little project I did last week. It was a real head-scratcher, I swear. I was scrolling through my social media, you know, just wasting time as usual, and I saw this post from Dan Orlovsky. This dude always has some wild takes about food. Anyway, I decided I wanted to make something based on Orlovsky’s food tweet.
First, I spent some time looking up what he said recently. Saw something about him on First Take, I think it was December 19th, 2024. Yeah, it was Thursday morning. They were talking about the Baltimore Ravens, or something like that. The guy’s known for his crazy food opinions, it seems. Also found something from January 20th, 2023. Man, this guy’s all over the place with his food stuff. Oh, and another one from November 24th, 2023. The First Take crew seemed confused by him, just like always.
So, with all that stuff I found, I started to plan what I’d do. It wasn’t easy, I’ll tell you that. I was thinking, “How can I make sense of all this craziness?”
I started to dig into these tweets. I opened up my browser, typed in the search bar, and went through a bunch of pages. It took a while, but I was determined to get to the bottom of this. I was jotting down notes, trying to connect the dots. The dates, the shows, what he said, it was all a big mess.
Then, I started coding. I used Python because, well, it’s what I’m most comfortable with. I wrote some scripts to pull data from social media, specifically targeting Orlovsky’s posts. It was tough, I kept running into errors, had to rewrite some parts, but I kept at it. I was like a man on a mission, you know?
After hours of coding, debugging, and a lot of coffee, I finally had something. A program that could track and analyze Dan Orlovsky’s food tweets. It wasn’t perfect, but it worked. It could pull his tweets, analyze the content, and even categorize them based on how weird they were.
Here’s what I did step by step:
- Researched: Spent a good chunk of time reading up on Orlovsky’s food takes.
- Planned: Figured out how to approach the problem, what data I needed, and how to get it.
- Coded: Wrote a Python script to pull data from social media.
- Debugged: Fixed errors, rewrote code, and tested it out.
- Analyzed: Ran the program and looked at the results.
The program is simple, but I was just experimenting with something. But I learned a lot, and that’s what matters, right?
In the end, I managed to create something that actually worked. It was a lot of work, but I was proud of what I accomplished. It just goes to show that even the most random things on the internet can turn into a fun little project. You just gotta be willing to put in the time and effort. And maybe have a bit of a tolerance for weird food takes, too. Who knew a food tweet could turn into such a fun little coding adventure?
