LISTS Data Structures in Python/Python Lists and Data Structures #methods #list #data #example

Explore methods/Operations used in the Python Lists Practical example asked by an interviewer #lists It is an ordered collection of objects. Lists are heterogenous It can grow or shrink in demand. No need to declare the size of list. l=[1,3,5,'start','life',9,8] print(l) #Append the list l.append(10) print(l) #extend the list l1=[12,11,9] l.extend(l1) print(l) #insert an element l.insert(3,'Open') print(l) #find index of an element d=l.index('Open') print(d) #Length of list f=len(l) print(f) #Sum,Min,Max l2=[13,120,9] print(sum(l2)) print(max(l2)) print(min(l2)) #Sorting l2.sort(reverse=True) print(l2) l=[1,3,5,'start','life',9,8] print(l) #Append the list l.append(10) print(l) #extend the list l1=[12,11,9] l.extend(l1) print(l) #insert an element l.insert(3,'Open') print(l) #find index of an element d=l.index('Open') print(d) #Length of list f=len(l) print(f) #Sum,Min,Max l2=[13,120,9] print(sum(l2)) print(max(l2)) print(min(l2)) #Sorting l2.sort(reverse=True) # for descending order l2.sort() # for ascending order print(l2) #list #data #structures #python #programming #methods #on #lists #append #extend #insert #index #sum #max #min #on #homogenous #elements #sorting #ascending #descending #order #like #share #subscribe #mychannel