This is probably a trivial question, but how do I parallelize the following loop in python?
# setup output lists
output1 = list()
output2 = list()
output3 =
Let's say we have an async function
async def work_async(self, student_name: str, code: str, loop):
"""
Some async function
"""
# Do some async procesing
That needs to be run on a large array. Some attributes are being passed to the program and some are used from property of dictionary element in the array.
async def process_students(self, student_name: str, loop):
market = sys.argv[2]
subjects = [...] #Some large array
batchsize = 5
for i in range(0, len(subjects), batchsize):
batch = subjects[i:i+batchsize]
await asyncio.gather(*(self.work_async(student_name,
sub['Code'],
loop)
for sub in batch))