Most of these native libraries' output isn't 1-1 mappable to Python. Based on the data you need to write native data wrappers, or worse, marshal the data into managed memory. The overhead can be high.
It gets worse because Python doesn't expose you to memory management. This initially is an advantage, but later on causes bloat.
Python is an incredibly easy interface over these native libraries, but has a lot of runtime costs.
It gets worse because Python doesn't expose you to memory management. This initially is an advantage, but later on causes bloat.
Python is an incredibly easy interface over these native libraries, but has a lot of runtime costs.