I noticed when I’m loading data, it spikes one of my cores. Is there a way to tell python to use multiple CPU cores to speed things up or is this a Python limitation?
train = pd.read_csv("train.csv", dtype={'id': 'int64','item_nbr': 'int32','store_nbr': 'int8','unit_sales': 'float32','onpromotion': bool}, parse_dates = ['date'])
The competition I am working on is the Grocery Sales Forecasting Kaggle Competition.