I have 128GB in my desktop, which is the same amount of ram that our cluster compute nodes have. I use it for Python/pandas forecasting work. The extra ram in

I have 128GB in my desktop, which is the same amount of ram that our cluster compute nodes have. I use it for Python/pandas forecasting work. The extra ram in my machine means I can work on the same datasets we use in prod locally, which is a huge productivity boost. Most of our developer time is actually spent building datasets. loading a random sample doesn’t really work when doing time series or spatial transforms and using a time or space limited subset makes description (graphs, maps) a chore. More ram is a huge productivity enabler when working with in memory tools like pandas.