extend() vs append() vs insert():
extend()-Adds all elements from an iterable (e.g., list, tuple) to the end of the list.
append()-Adds a single element to the end of the list.
insert()-Inserts a single element at a specified index in the list.
Example for extend():
l1 = [10,20,30] l2 = [40,50,60] l1.extend(l2) print(l1) print(len(l1))
[10, 20, 30, 40, 50, 60] 6
Example for append():
l1 = [10,20,30] l2 = [40,50,60] l1.append(l2) print(l1) print(len(l1))
[10, 20, 30, [40, 50, 60]] 4
append() vs extend():
l1 = [10,20,30] l1.append('abcd') print(l1) l1.extend('pqrs') print(l1)
[10, 20, 30, 'abcd'] [10, 20, 30, 'abcd', 'p', 'q', 'r', 's']
reverse():
The reverse() method in Python is used to reverse the order of the elements in a list in place.
l1 = [10,20,30] l1.reverse() print(l1)
[30, 20, 10]
sort():
The sort() method in Python is used to sort the elements of a list in place. It arranges the elements in ascending order by default.
l1 = [10,200,30] l1.sort() print(l1) l1.sort(reverse=True) print(l1)
[10, 30, 200] [200, 30, 10]
sorted():
The sorted() function in Python is similar to the sort() method, but with key differences. It returns a new sorted list without modifying the original list.
my_list = [3, 1, 4, 5, 2] sorted_list = sorted(my_list) print(sorted_list) print(my_list)
[1, 2, 3, 4, 5] [3, 1, 4, 5, 2]
min(): To find minimum value in given input.
max(): To find maximum value in given input.
sum(): To find sum of all values in given input.
l1 = [10,200,30,40,50] print(min(l1)) print(max(l1)) print(sum(l1))
10 200 330
inf(Infinity):
float('inf'):Used to find maximum number.
-float('inf'):Used to find minimum number.
1. Find second minimum value in given input.
l1 = [10,20,310,40,50] min_value = float('inf') second_min = float('inf') i = 0 while i <len(l1): if l1[i]<min_value: second_min = min_value min_value = l1[i] elif l1[i]<second_min: second_min = l1[i] i+=1 else: print(second_min)
20
2. Find second maximum value in given input.
l1 = [10,20,30,40,50] max_value = -float('inf') second_max = -float('inf') i = 0 while i <len(l1): if l1[i]>max_value: second_max = max_value max_value = l1[i] elif l1[i]>second_max: second_max = l1[i] i+=1 else: print(second_max)
40
Bubble sort:
It compares adjacent elements, and swaps them if they are in the wrong order.
Example:1
l1 = [40,30,20,10] i = 0 while i<len(l1)-1: if l1[i]>l1[i+1]: l1[i], l1[i+1] = l1[i+1], l1[i] i+=1 print(l1) i = 0 while i<len(l1)-2: if l1[i]>l1[i+1]: l1[i], l1[i+1] = l1[i+1], l1[i] i+=1 print(l1)
[30, 20, 10, 40] [20, 10, 30, 40]
Example:2(using double sort change given list in ascending order and find Kth highest value in a given list)
l1 = [40,30,20,10] #kth highest value in a given list j = 1 while j<=len(l1): i = 0 while i<len(l1)-j: if l1[i]>l1[i+1]: l1[i], l1[i+1] = l1[i+1], l1[i] i+=1 j+=1 print(l1) print(l1[-3])
[10, 20, 30, 40] 20
in and not in operators:
Python’s in and not in operators allow you to quickly determine if a given value is or isn’t part of a collection of values.
l1 = [100,67,54,101,220, 670,45, 32] print(100 in l1) print(100 not in l1) print(120 in l1) print(120 not in l1)
True False False True
Reversing a string:
s = "today is thursday" reverse = "" i = 0 while i<len(s): reverse = reverse + s[-(i+1)] i+=1 print(reverse)
yadsruht si yadot
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