ipython read files in cluster

fileName = '/mnt/eftdata2/pos_ptlf_201309%(i)02d.txt'
names = [fileName % {'i':i} for i in range(5,12)]
strDate = '2013-09-%(j)02d'
dates = [strDate %{'j':j} for j in range(5,12)]


# Connect to the IPython cluster
# set 7 cluster engines, 1 cluster preprocess 1 daily data (total 7 daily dataset per week)
c = Client(profile='titaClusters')
c[:].run('chunk.py')
c[:].block = True
numC = len(c)

dat01 = c[0].apply_sync(extract_data,names[0])
clear_clients(c[0])
dat02 = c[1].apply_sync(extract_data,names[1])
clear_clients(c[1])
dat03 = c[2].apply_sync(extract_data,names[2])
clear_clients(c[2])
dat04 = c[3].apply_sync(extract_data,names[3])
clear_clients(c[3])
dat05 = c[4].apply_sync(extract_data,names[4])
clear_clients(c[4])
dat06 = c[5].apply_sync(extract_data,names[5])
clear_clients(c[5])
dat07 = c[6].apply_sync(extract_data,names[6])
clear_clients(c[6])