Program to print Lower triangular and Upper triangular matrix of an array

def lower(matrix, row, col):

for i in range(0, row):

for j in range(0, col):

if (i < j):

print("0", end = " ");

else:

print(matrix[i][j],

end = " " );

print(" ");

def upper(matrix, row, col):

for i in range(0, row):

for j in range(0, col):

if (i > j):

print("0", end = " ");

else:

print(matrix[i][j],

end = " " );

print(" ");

matrix = [[1, 2, 3],

[4, 5, 6],

[7, 8, 9]];

row = 3;

col = 3;

print("Lower triangular matrix: ");

lower(matrix, row, col);

print("Upper triangular matrix: ");

upper(matrix, row, col);


Find maximum value of Sum( i*arr[i]) with only rotations on given array allowed

def maxSum(arr):

arrSum = 0

currVal = 0

n = len(arr)

for i in range(0, n):

arrSum = arrSum + arr[i]

currVal = currVal + (i*arr[i])

maxVal = currVal

for j in range(1, n):

currVal = currVal + arrSum-n*arr[n-j]

if currVal > maxVal:

maxVal = currVal

return maxVal

if __name__ == '__main__':

arr = [10, 1, 2, 3, 4, 5, 6, 7, 8, 9]

print ("Max sum is: ", maxSum(arr))


Hexagons Turtle

import turtle

from random import randint

x = 20

y = 20

turtle.speed(100)

turtle.colormode(255)

def move(l, a):

                turtle.right(a)

                turtle.forward(l)

def hex():

        turtle.pendown()

        turtle.color( randint(0,255),randint(0,255),randint(0,255) )

        turtle.begin_fill()

        for i in range(6):

                move(x,-60)

        turtle.end_fill()

        turtle.penup()

turtle.penup()

for z in range (y):

        if z == 0:

                hex()

                move(x,-60)

                move(x,-60)

                move(x,-60)

                move(0,180)

        for i in range (6):

                move(0,60)

                for j in range (z+1):

                        hex()

                        move(x,-60)

                        move(x,60)

                move(-x,0)

        move(-x,60)

        move(x,-120)

        move(0,60)

turtle.exitonclick()

Dijkstra’s shortest path algorithm

import sys

class Graph():

def __init__(self, vertices):

self.V = vertices

self.graph = [[0 for column in range(vertices)]

for row in range(vertices)]

def printSolution(self, dist):

print("Vertex \tDistance from Source")

for node in range(self.V):

print(node, "\t", dist[node])

def minDistance(self, dist, sptSet):

min = sys.maxsize

for u in range(self.V):

if dist[u] < min and sptSet[u] == False:

min = dist[u]

min_index = u

return min_index

def dijkstra(self, src):

dist = [sys.maxsize] * self.V

dist[src] = 0

sptSet = [False] * self.V

for cout in range(self.V):

x = self.minDistance(dist, sptSet)

sptSet[x] = True

for y in range(self.V):

if self.graph[x][y] > 0 and sptSet[y] == False and \

dist[y] > dist[x] + self.graph[x][y]:

dist[y] = dist[x] + self.graph[x][y]

self.printSolution(dist)

g = Graph(9)

g.graph = [[0, 4, 0, 0, 0, 0, 0, 8, 0],

[4, 0, 8, 0, 0, 0, 0, 11, 0],

[0, 8, 0, 7, 0, 4, 0, 0, 2],

[0, 0, 7, 0, 9, 14, 0, 0, 0],

[0, 0, 0, 9, 0, 10, 0, 0, 0],

[0, 0, 4, 14, 10, 0, 2, 0, 0],

[0, 0, 0, 0, 0, 2, 0, 1, 6],

[8, 11, 0, 0, 0, 0, 1, 0, 7],

[0, 0, 2, 0, 0, 0, 6, 7, 0]

];


g.dijkstra(0);


Range Queries for Frequencies of array elements

def findFrequency(arr, n, left, right, element):

count = 0

for i in range(left - 1, right):

if (arr[i] == element):

count += 1

return count

arr = [2, 8, 6, 9, 8, 6, 8, 2, 11]

n = len(arr)

print("Frequency of 2 from 1 to 6 = ",

findFrequency(arr, n, 1, 6, 2))

print("Frequency of 8 from 4 to 9 = ",

findFrequency(arr, n, 4, 9, 8))