<jupyter_start><jupyter_text>list<jupyter_code>lst=['ashish',1,2,"ram",2,[3,4,5]]
lst
lst.append(32)
lst
lst.count(2)
lst.index('ram')
lst.insert(0,121)
lst
lst.reverse()
lst<jupyter_output><empty_output><jupyter_text>Dictionary<jupyter_code>dct={'name':'ashish',"age":20,'number':993239123,
     'email':'<EMAIL>' }
dct
dct.get('email')
dct.pop('number')
dct
dct.items()
dct.values()
dct1={'college':'xyz','branch':'cse'}
dct.update(dct1)
dct<jupyter_output><empty_output><jupyter_text>sets<jupyter_code>st={'ashu','ram',1,2,3,1,3,2,4,'ram'}
st
st.add('india')
st
st1={1,3,5,'india'}
st.difference(st1)
st.discard('ram')
st
st.intersection(st1)
st.union(st1)<jupyter_output><empty_output><jupyter_text>tupple<jupyter_code>tup=(1,2,3,4,[2,3,4],'hello','india')
tup
tup.count(2)
tup.index([2,3,4])
tuple(st)
len(tup)
tup1=(1,3,4,5,12,24)
max(tup1)
min(tup1)<jupyter_output><empty_output><jupyter_text>string<jupyter_code>str="my country is india"
str
str.capitalize()
str.find('is')
str.islower()
str.split()
str.format()
str.replace('india','england')<jupyter_output><empty_output>