Remove stopwords in Python

Hi All,
See the code using set difference operation

--------------------------------
stopwords="is and it when which where to in have has "
testdata="it is bad and worst"
stoplist=stopwords.split()
testlist=testdata.split()
newtestlist=list(set(testlist)-set(stoplist))
print(newtestlist)
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Classification in Python without Machine Learning

HI All,
See the code...

The input is trainingdata.csv  with the following content

high-temparature headache cough,fever
chest-pain high-pressure breathing-issue,heartattack
very-high-esr faint high-beta-count,cancer

-------------------------------------
import csv
list1=[]
class1=[]
stopwords="i am you we an in on where is are what which here"
slist=stopwords.split()
csvinput=open("trainingdata.csv","r")
reader=csv.reader(csvinput,delimiter=",")
for sym,label in reader:
  list1.append(sym)
  class1.append(label)
print(list1)
print(class1)
in1=input("Enter your symptoms")
inlist=in1.split()
newlist=list(set(inlist)-set(slist))
print(newlist)
j=0
for i in list1:
  #print(i)
  templist=i.split()
  commonlist=list(set(templist)&set(newlist))
  l1=len(commonlist)
  percentage=l1/len(templist)*100
  #print(templist)
  print(class1[j],percentage)
  j=j+1
  

Read tweets

Hi all
Use this code for reading tweets
____________________
import tweepy #https://github.com/tweepy/tweepy
import csv

#Twitter API credentials
consumer_key = ""
consumer_secret = ""
access_key = "-"
access_secret = ""


#def get_all_tweets(screen_name):
print("entered HUP")
#Twitter only allows access to a users most recent 3240 tweets with this method

#authorize twitter, initialize tweepy
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_key, access_secret)
api = tweepy.API(auth)

#initialize a list to hold all the tweepy Tweets
alltweets = []

#make initial request for most recent tweets (200 is the maximum allowed count)
new_tweets = api.user_timeline(screen_name = "sumeesh96283695",count=200)
 
#get_all_tweets("sumeesh96283695")
alltweets.extend(new_tweets)

#update the id of the oldest tweet less one
oldest = alltweets[-1].id - 1

print ("...%s tweets downloaded so far" % (len(alltweets)))

#transform the tweepy tweets into a 2D array that will populate the csv
outtweets = [[tweet.id_str, tweet.created_at, tweet.text.encode("utf-8")] for tweet in alltweets]















for i in outtweets:
  print(i)
  print("-----------")