Advanced Data Analytics Using Python_ With Machine Learning, Deep Learning and NLP Examples ( 2023)

Chapter 1
Introduction
if pageFile.getcode() != 200:
return "Problem in URL"
pageHtml = pageFile.read()
pageFile.close()
return "".join(pageHtml)
def remove_junk(self, arg):
f = open('junk.txt')
for line in f:
arg.replace(line.strip(),'')
return arg
def print_args(self, args):
out =''
last = 0
for arg in args:
if args.index(arg) == len(args) -1:
last = 1
reload(sys)
sys.setdefaultencoding("utf-8")
arg = arg.decode('utf8','ignore').
encode('ascii','ignore').strip()
arg = arg.replace('\n',' ')
arg = arg.replace('\r','')
arg = self.remove_junk(arg)
if last == 0:
out = out + arg + '\t'
else:
out = out + arg
print out
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