gistfile1.txt

print len(twenty_train.data)

print("\n".join(twenty_train.data[0].split("\n")[:3]))

print(twenty_train.target_names[twenty_train.target[0]])

print(twenty_train.target[:10])

for t in twenty_train.target[:10]:
    print(twenty_train.target_names[t])
    
#Preprocessing

#Tokenizing text

count_vect=CountVectorizer()
X_train_counts=count_vect.fit_transform(twenty_train.data)

print(X_train_counts.shape)

print(count_vect.vocabulary_.get(u'algorithm'))