SimpleSimpler

I mean this is what I love about python. If you use global Python and have multiple projects that use the same global Python there is almost a 100% chance there will be conflicts with installed libraries so every time you want to start a project you would need to install its requirements.

Yeah both pandas and polars have pivot and unpivot functionalities, which are great for usecases that you've mentioned. ✅

I know the feeling. Usually I have a typo.

Cute cat btw.

PyCharm is really good tool because of unlimited features, but it lacks in stability. If you have a lot of tabs open, jupyter notebooks especially it will crash from time to time.

That can be frustrating because you can't save anything.

All because of Java 😂

You have really interesting art, and you managed to combine it with programming. I love it 🫡

The more you learn the less you know... it usually goes like that.

Than now is the time to show your generation that they did a big mistake by comparing coding to masculinity. 💪

I mean it is creative. They should also add an option that on every import they reduce your balance.

It gets easier with time. Don't worry.

I would also add simplicity in there. 🤝

QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks? Recently, a large amount of work has focused on improving large language models' (LLMs') performance on reasoning benchmarks such as math and logic. However, past work has largely assumed that tasks a...

Been waiting for a work making this clear for a while: zero-shot, LLMs do not hedge and do not ask questions to solve under-specified problems
arxiv.org/abs/2503.22674

This is great insight.

I mean this can be interpreted that (for now) the LLMs can't question themselves and determine that something doesn't add up. It takes input variables and take them as is.

It is all good till you drop it 🤷

The title says: "How to confuse machine learning". There are images of dogs that are orange and have wavy hair, but on some pictures there is a fried chicken.

Found another one!

To be honest, looks like some child drew it.

GitHub - SimpleSimpler/data_fingerprint: DataFingerprint is a Python package designed to compare two datasets and generate a detailed report highlighting the differences between them. DataFingerprint is a Python package designed to compare two datasets and generate a detailed report highlighting the differences between them. - SimpleSimpler/data_fingerprint

OPEN SOURCE 🚀

The Problem❔

There have been many instances where I needed to compare two dataframes and analyze their differences. To address this need, I created a fast Python library called "data_fingerprint" that does exactly that.

Check it out! 🕵‍♂️
github.com/SimpleSimple...