Also Python generators for the lulz. They help one to write extremely memory-efficient programs. Perhaps the memory shortage further helps cement Python in the language popularity charts, vis-à-vis languages that tend to load whole data in memory by default, like R.
If we are talking about R, a lot of people who converted from R continued to operate in the same manner, by loading entire datasets into memory with pandas and numpy.
