Python turns 32. Explore 32 practical Python one-liners that show why readability, simplicity, and power still define the ...

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...

running R code inside Python quickly transferring huge datasets between Python (NumPy/pandas/polars) and R without writing to disk interactively working in both languages at the same time ...

Performance: Stable 7.8s scan time, zero new dependencies, 38% faster than v1.0.0 despite 676% code growth.