I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

On Wednesday, OpenAI unveiled o3 and o4-mini, its latest AI models. Both of them have advanced image analyzation capabilities – and excel at coding, math, and science.

What are some use cases for which it would be beneficial to use Haskell, rather than R or Python, in data science? This question was originally answered on Quora by Tikhon Jelvis.

Granted, I’m a lowly tech journalist and not a data scientist, but my own usage of the new Gemini 2.0-powered data science agent in Colab so far has been less than seamless.

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Among the many use cases Python covers, data analytics has become ...