Alright, let’s talk about this little project I called “z-cup.” It’s nothin’ fancy, just a fun thing I tinkered with over a weekend. So, where did it all begin?

It all started with a problem. I was messing around with some data visualization stuff, and I needed a way to quickly see the distribution of values. You know, like a quick and dirty histogram, but without all the hassle of setting up a proper plotting library. That’s when I thought, “Hey, can I just do this in the terminal?”
So, I fired up my trusty text editor and started hammering away. I decided to use Python because, well, it’s Python. Easy to read, easy to write, and it gets the job done. First, I needed a way to get the data in. I figured the simplest thing would be to just read it from standard input, one number per line. So, I wrote a little loop to read lines from and convert them to floats.
Next up, the fun part: figuring out how to represent the distribution. I decided to go with a simple bar chart made of ASCII characters. I figured out the range of the data, divided it into a bunch of “buckets,” and then counted how many values fell into each bucket. Then, for each bucket, I printed a line with a bunch of characters, the number of s corresponding to the count in that bucket.
It sounds simple, and it kinda was. But there were a few tricky bits. Like, how to handle empty inputs? How to scale the bars so they fit nicely on the screen? How to make it look at least somewhat presentable? I ended up adding some command-line options to control the number of buckets, the scaling factor, and a few other things. Used argparse
for that. It’s a lifesaver.
After a few hours of tweaking and testing, I had something that actually worked. It wasn’t pretty, but it did the job. I could pipe some data to it, and it would spit out a little bar chart in the terminal. Crude, but effective.

Here’s the basic workflow I ended up with:
- Get the Data: Read numerical data from standard input (one number per line).
- Calculate Range: Find the minimum and maximum values in the data.
- Create Buckets: Divide the data range into a specified number of equal-sized buckets.
- Count Values: Count how many values fall into each bucket.
- Scale Counts: Scale the counts to fit within the terminal width.
- Print Bars: For each bucket, print a line of characters representing the scaled count.
I even added a little header showing the range of values each “bar” represents. Just to make it a little more understandable.
Learned a few things along the way:
- Terminal output can be surprisingly useful for quick data exploration.
- ASCII art is harder than it looks.
argparse
is your friend.
This “z-cup” thing ain’t gonna win any awards, but it was a fun little exercise. And who knows, maybe it’ll actually come in handy someday.
Final thoughts:

The key takeaway is that even small, simple projects can be valuable learning experiences. Don’t be afraid to just dive in and start hacking. You might surprise yourself with what you can create.