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Import networkx as nx
G=nx.Graph()
e=[('a','b',1),('b','c',2),('a','c',3),('c','d',4),('d','c',2),('b','e',1)]

G.add_weighted_edges_from(e)
Print (nx.dijkstra_path(G,'a','e'))

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Source code for vigenènere cipher algorithm in python

from tkinter import *
import random, string


root = Tk()
root.geometry("400x280")
root.title("Password Generator")

title = StringVar()
label = Label(root, textvariable=title).pack()
title.set("The strength of our password:")



def selection():
selection = choice.get()

choice = IntVar()
R1 = Radiobutton(root, text="POOR", variable=choice, value=1, command=selection).pack(anchor=CENTER)
R2 = Radiobutton(root, text="AVERAGE", variable=choice, value=2, command=selection).pack(anchor=CENTER)
R3 = Radiobutton(root, text="ADVANCED", variable=choice, value=3, command=selection).pack(anchor=CENTER)
labelchoice = Label(root)
labelchoice.pack()


lenlabel = StringVar()
lenlabel.set("Password length:")
lentitle = Label(root, textvariable=lenlabel).pack()

#
val = IntVar()
spinlenght = Spinbox(root, from_=8, to_=24, textvariable=val, width=13).pack()

# passprint


def callback():
lsum.config(text=passgen())


# clickable button
passgenButton = Button(root, text="Generate Password", bd=5, height=2, command=callback, pady=3)
passgenButton.pack()
password = str(callback)

# password result message
lsum = Label(root, text="")
lsum.pack(side=BOTTOM)

# function
poor= string.ascii_uppercase + string.ascii_lowercase
average= string.ascii_uppercase + string.ascii_lowercase + string.digits
symbols = """`~!@#$%^&*()_-+={}[]\|:;"'<>,.?/"""
advance = poor+ average + symbols


def passgen():
if choice.get() == 1:
return "".join(random.sample(poor, val.get()))
elif choice.get() == 2:
return "".join(random.sample(average, val.get()))
elif choice.get() == 3:
return "".join(random.sample(advance, val.get()))


root.mainloop()

Code for tkinter password generator

import requests
from bs4 import BeautifulSoup

Url="https://www.worldometers.info/country/india"
req=requests.get(Url)
bsobj=BeautifulSoup(req.text,'html.parser')

data=bsobj.find_all("div",class_="maincounter-number")


print("totalcases", data[0].text.strip())
print("total deaths", data[1].text.strip())
print("total recoverd", data[2].text.strip())

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