Okay, so today I’m gonna walk you through this thing I was messing with called “o22.” Don’t ask me where the name came from, it just kinda stuck.
It all started when I was trying to figure out a better way to, uh, you know, do that one thing. Yeah, that thing. Basically, I was tired of doing it the old way, which involved a whole lotta clicking and waiting. It was driving me nuts.
So, first thing I did, I fired up my trusty code editor. I’m a big fan of VS Code, by the way. Anyway, I started by laying out the basic structure of what I wanted to achieve. I needed to automate a process that involved a bunch of API calls. Nothing too crazy, but still annoying to do manually.
I decided to use Python because, well, it’s Python. Easy to read (sort of), lots of libraries, and I already had it installed. I imported the `requests` library for handling the API stuff, and `json` for dealing with the data.
Then came the fun part: figuring out the API endpoints. This involved a lot of digging through documentation (which was, of course, outdated) and a bunch of trial and error. I ended up using Postman to test out the different requests and see what kind of data I was getting back. Seriously, Postman is a lifesaver.
Once I had the endpoints figured out, I started writing the Python code to make the requests. I wrapped everything in functions to keep it organized. Error handling was a bit of a pain, but I added some `try…except` blocks to catch any exceptions that might pop up.
Next, I needed to parse the JSON responses and extract the data I needed. This involved a lot of dictionary lookups and list comprehensions. I’m not gonna lie, I had to Google a few things along the way. Hey, nobody’s perfect.
After I had the data extracted, I needed to do some processing on it. This involved some basic calculations and some string manipulation. I ended up using the `pandas` library for this, which made things a lot easier. Pandas is amazing for data manipulation, if you didn’t know.
Finally, I needed to output the processed data in a usable format. I decided to write it to a CSV file. This was pretty straightforward using the `csv` library in Python.
I ran the script, and… it didn’t work. Surprise! I spent the next hour debugging, fixing typos, and tweaking the code. Turns out I had a few off-by-one errors and a couple of incorrect variable names. Classic.
But eventually, I got it working! The script now automates the entire process, saving me a ton of time and effort. It’s not the prettiest code in the world, but it gets the job done.
Here’s a super rough outline of the code, just so you get the idea:
- Import libraries (requests, json, pandas, csv)
- Define functions for making API requests
- Define functions for parsing JSON responses
- Define functions for processing data
- Write data to CSV file
I know it’s not super detailed, but it gives you the gist of it. The key takeaway is to break down the problem into smaller, manageable chunks, and then tackle each chunk one at a time.
So yeah, that’s my “o22” project. It was a bit of a pain to get working, but it was worth it in the end. Plus, I learned a few things along the way. And that’s always a good thing.
Hope that was helpful! Let me know if you have any questions. And thanks for reading!
