Parallelize - Parallel Processing for Python
Methods
Map
import parallelize
def cube(x):
return x*x*x
print parallelize.map(cube, [100, 999, 12321])
Filter
Reduce
TODO
- Documentation
- Major refactoring
- Use multiprocessing?
- Make decorators?
Utilities for running functions in parallel
Homepage Repository PyPI Python
pip install parallelize==0.1
import parallelize
def cube(x):
return x*x*x
print parallelize.map(cube, [100, 999, 12321])