I use numpy for modeling in python, it works great for large raster datasets, also it is free

Complete modularity with all the mathematical tools

Numpy is one of the most important libraries for the data scientist. The main structure of numpy, the numpy arrays, are the most common structure when using most data science libraries in python (for instance scipy, sklearn, etc). Once you get used to numpy arrays, you can see how fast is to do operations with them. I like how numpy arrays allow to reduce cpu time by only changing ordinary arrays by numpy arrays. With few data you can reduce a lot of cpu time, so with a significant amount of data, you can obtain a considerable reduction of time.