If youโve spent time in Python for data analysis, you know the magic of Pandas. A few lines of code, and you can filter, aggregate, and transform data like a wizard. But when your dataset starts hitting millions of rows or you want to run computations across a cluster, Pandas starts to sweat โ thatโs... Continue Reading →
Python Project Structures That Donโt Collapse in Production
Thereโs something oddly satisfying about writing a quick Python script that just works. You run it, see the output, maybe toss in a few print statements, and boomโdone. But the trouble starts when that โquick scriptโ grows into a project with multiple files, dependencies, and people contributing to it. Suddenly, that neat little script feels... Continue Reading →