Parallelize jobs, return a DataFrame or Series
indicators = map_jobs(
func=handle_task,
molecules=('jobs', jobs),
threads=8,
batches=4
)
Parallelize jobs and combine them into a single output
indicators = map_reduce_jobs(
redux=dict.update,
redux_in_place=True,
func=handle_task_dict,
molecules=('jobs', jobs),
threads=8,
batches=4
)