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#Python 3: Fibonacci series up to ndef fib(n):a, b = 0, 1while a < n:print(a, end=' ')a, b = b, a+bprint()fib(1000)
import stringdef caesar(text, shift, alphabets):def shift_alphabet(alphabet):return alphabet[shift:] + alphabet[:shift]shifted_alphabets = tuple(map(shift_alphabet, alphabets))final_alphabet = "".join(alphabets)final_shifted_alphabet = "".join(shifted_alphabets)table = str.maketrans(final_alphabet, final_shifted_alphabet)return text.translate(table)plain_text = "Hey Skrome, welcome to CodeCatch"print(caesar(plain_text, 8, [string.ascii_lowercase, string.ascii_uppercase, string.punctuation]))
#Python program to print topological sorting of a DAGfrom collections import defaultdict#Class to represent a graphclass Graph:def __init__(self,vertices):self.graph = defaultdict(list) #dictionary containing adjacency Listself.V = vertices #No. of vertices# function to add an edge to graphdef addEdge(self,u,v):self.graph[u].append(v)# A recursive function used by topologicalSortdef topologicalSortUtil(self,v,visited,stack):# Mark the current node as visited.visited[v] = True# Recur for all the vertices adjacent to this vertexfor i in self.graph[v]:if visited[i] == False:self.topologicalSortUtil(i,visited,stack)# Push current vertex to stack which stores resultstack.insert(0,v)# The function to do Topological Sort. It uses recursive# topologicalSortUtil()def topologicalSort(self):# Mark all the vertices as not visitedvisited = [False]*self.Vstack =[]# Call the recursive helper function to store Topological# Sort starting from all vertices one by onefor i in range(self.V):if visited[i] == False:self.topologicalSortUtil(i,visited,stack)# Print contents of stackprint(stack)g= Graph(6)g.addEdge(5, 2);g.addEdge(5, 0);g.addEdge(4, 0);g.addEdge(4, 1);g.addEdge(2, 3);g.addEdge(3, 1);print("Following is a Topological Sort of the given graph")g.topologicalSort()
my_list = ["blue", "red", "green"]#1- Using sort or srted directly or with specifc keysmy_list.sort() #sorts alphabetically or in an ascending order for numeric datamy_list = sorted(my_list, key=len) #sorts the list based on the length of the strings from shortest to longest.# You can use reverse=True to flip the order#2- Using locale and functoolsimport localefrom functools import cmp_to_keymy_list = sorted(my_list, key=cmp_to_key(locale.strcoll))
# Python program to reverse a linked list# Time Complexity : O(n)# Space Complexity : O(n) as 'next'#variable is getting created in each loop.# Node classclass Node:# Constructor to initialize the node objectdef __init__(self, data):self.data = dataself.next = Noneclass LinkedList:# Function to initialize headdef __init__(self):self.head = None# Function to reverse the linked listdef reverse(self):prev = Nonecurrent = self.headwhile(current is not None):next = current.nextcurrent.next = prevprev = currentcurrent = nextself.head = prev# Function to insert a new node at the beginningdef push(self, new_data):new_node = Node(new_data)new_node.next = self.headself.head = new_node# Utility function to print the linked LinkedListdef printList(self):temp = self.headwhile(temp):print temp.data,temp = temp.next# Driver program to test above functionsllist = LinkedList()llist.push(20)llist.push(4)llist.push(15)llist.push(85)print "Given Linked List"llist.printList()llist.reverse()print "\nReversed Linked List"llist.printList()
def sum_of_powers(end, power = 2, start = 1):return sum([(i) ** power for i in range(start, end + 1)])sum_of_powers(10) # 385sum_of_powers(10, 3) # 3025sum_of_powers(10, 3, 5) # 2925