NumPy news
Numpyro: Probabilistic Programming That Doesn’t Waste My Time
I remember the bad old days of probabilistic programming. You’d define a hierarchical model, hit “sample,” and then—I’m not joking—go watch an entire.
Stop Rewriting Your Pandas Code for Spark. Seriously.
I looked at my terminal yesterday and saw the one error message that has haunted my entire career in data engineering.
NASA Just Paid to Fix NumPy’s Messy Parts. About Time.
I was staring at a flame graph at 11 p.m. last Tuesday, wondering why my seemingly simple data pipeline was eating RAM like Chrome with fifty tabs open.
Strengthening the Core: The Future of NumPy, Scikit-learn, and Scientific Python Performance
The Python ecosystem has long been the dominant force in data science, machine learning, and scientific computing.