Tuesday, 5 October 2021

Wifi Password Generator in Python


WIFI PASSWORD EJECTOR

Description

  • a simple python script that tells you the password of the wifi you're connected with

Requirements

  • just need to install python in your system.




Source Code:- 

import subprocess

data = (
    subprocess.check_output(["netsh", "wlan", "show", "profiles"])
    .decode("utf-8")
    .split("\n")
)
profiles = [i.split(":")[1][1:-1] for i in data if "All User Profile" in i]
for i in profiles:
    results = (
        subprocess
        .check_output(["netsh", "wlan", "show", "profile", i, "key=clear"])
        .decode("utf-8")
        .split("\n")
    )
    results = [b.split(":")[1][1:-1] for b in results if "Key Content" in b]
    try:
        print("{:<30}|  {:<}".format(i, results[0]))
    except IndexError:
        print("{:<30}|  {:<}".format(i, ""))



Output:
















Join us: https://t.me/jupyter_python

Monday, 4 October 2021

Python Project [ Age_Calculator]


Calculate Your Age!

This script prints your age in three different ways :

  1. Years
  2. Months
  3. Days

Prerequisites

You only need Python to run this script. You can visit here to download Python.



Input:

import time
from calendar import isleap

# judge the leap year
def judge_leap_year(year):
    if isleap(year):
        return True
    else:
        return False


# returns the number of days in each month
def month_days(month, leap_year):
    if month in [1, 3, 5, 7, 8, 10, 12]:
        return 31
    elif month in [4, 6, 9, 11]:
        return 30
    elif month == 2 and leap_year:
        return 29
    elif month == 2 and (not leap_year):
        return 28


name = input("input your name: ")
age = input("input your age: ")
localtime = time.localtime(time.time())

year = int(age)
month = year * 12 + localtime.tm_mon
day = 0

begin_year = int(localtime.tm_year) - year
end_year = begin_year + year

# calculate the days
for y in range(begin_year, end_year):
    if (judge_leap_year(y)):
        day = day + 366
    else:
        day = day + 365

leap_year = judge_leap_year(localtime.tm_year)
for m in range(1, localtime.tm_mon):
    day = day + month_days(m, leap_year)

day = day + localtime.tm_mday
print("%s's age is %d years or " % (name, year), end="")
print("%d months or %d days" % (month, day))



Output :










Join us: https://t.me/jupyter_python

Python Project [Whatsapp Bot]

Whatsapp Bot

Perform Operation like

  1. Put your details
  2. connect with internet
  3. Pass your message

Input:

import pywhatkit
from datetime import datetime

now = datetime.now()

chour = now.strftime("%H")
mobile = input('Enter Mobile No of Receiver : ')
message = input('Enter Message you wanna send : ')
hour = int(input('Enter hour : '))
minute = int(input('Enter minute : '))

pywhatkit.sendwhatmsg(mobile,message,hour,minute)


Output :





Join us: https://t.me/jupyter_python

Python Project [ Digital Clock]


This script create a digital clock as per the system's current time.

Input:



import tkinter as tk
from time import strftime
def light_theme():
frame = tk.Frame(root, bg="white")
frame.place(relx=0.1, rely=0.1, relwidth=0.8, relheight=0.8)
lbl_1 = tk.Label(frame, font=('calibri', 40, 'bold'),
background='White', foreground='black')
lbl_1.pack(anchor="s")
def time():
string = strftime('%I:%M:%S %p')
lbl_1.config(text=string)
lbl_1.after(1000, time)
time()
def dark_theme():
frame = tk.Frame(root, bg="#22478a")
frame.place(relx=0.1, rely=0.1, relwidth=0.8, relheight=0.8)
lbl_2 = tk.Label(frame, font=('calibri', 40, 'bold'),
background='#22478a', foreground='black')
lbl_2.pack(anchor="s")
def time():
string = strftime('%I:%M:%S %p')
lbl_2.config(text=string)
lbl_2.after(1000, time)
time()
root = tk.Tk()
root.title("Digital-Clock")
canvas = tk.Canvas(root, height=140, width=400)
canvas.pack()
frame = tk.Frame(root, bg='#22478a')
frame.place(relx=0.1, rely=0.1, relwidth=0.8, relheight=0.8)
lbl = tk.Label(frame, font=('calibri', 40, 'bold'),
background='#22478a', foreground='black')
lbl.pack(anchor="s")
def time():
string = strftime('%I:%M:%S %p')
lbl.config(text=string)
lbl.after(1000, time)
time()
menubar = tk.Menu(root)
theme_menu = tk.Menu(menubar, tearoff=0)
theme_menu.add_command(label="Light", command=light_theme)
theme_menu.add_command(label="Dark", command=dark_theme)
menubar.add_cascade(label="Theme", menu=theme_menu)
root.config(menu=menubar)
root.mainloop()

Output :







Join us: https://t.me/jupyter_python

Python Project [An application to save any random article from Wikipedia to a text file].


An application to save any random article from Wikipedia to a text file.



Output of the project






Source Code: 


from bs4 import BeautifulSoup
import requests

# Trying to open a random wikipedia article
# Special:Random opens random articles
res = requests.get("https://en.wikipedia.org/wiki/Special:Random")
res.raise_for_status()

# pip install htmlparser
wiki = BeautifulSoup(res.text, "html.parser")

r = open("random_wiki.txt", "w+", encoding='utf-8')

# Adding the heading to the text file
heading = wiki.find("h1").text

r.write(heading + "\n")
for i in wiki.select("p"):
    # Optional Printing of text
    # print(i.getText())
    r.write(i.getText())

r.close()
print("File Saved as random_wiki.txt")










Join us: https://t.me/jupyter_python

Program that converts arrays into a list, loops through the list to form a string using the chr() function




Input :


#Program that converts arrays into a list, loops through the list to form a string using the chr() function
#clcoding.com
import numpy as np
def ord_to_character(words = ""):
    
    x = np.array([112,121,134,123,32,96,34,56,67,111,98,97,119,105,113])
    
    y = np.array([78,90,104,123,132,53,34,56,97,116,98,27,119,77,117,12])
    
    z = np.array([111,112,134,123,21,32,108,106,89,70,80,103,103,120,121])
    
    letters = x.tolist() + y.tolist()  + z.tolist()
    
    for letter in letters:
        words += chr(letter)
        
        
    return words 


sentence = ord_to_character()
print(sentence)
    
Output :


py†{ `"8CobawiqNZh{„5"8atbwMuop†{ ljYFPggxy



Join us: https://t.me/jupyter_python

Plotting a colourful Scatter Plot using Matplotlib








from matplotlib import pyplot as plt

x = [10,20,30,40,50]
y = [200,300,100,400,500]
colors=[70,20,80,10,50]
sizes=[100,50,300,250,150]

plt.scatter(x,y,c=colors,s=sizes,cmap="Accent",alpha=1.0)
plt.colorbar()
plt.show





Join us: https://t.me/jupyter_python

Plotting Histogram using Pyplot







from matplotlib import pyplot as plt 

marks=[90,50,40,60,55,44,30,10,34,84]
grade_intervals=[0,35,70,100]
plt.title("Student Grades")
plt.hist(marks,grade_intervals,histtype="bar",rwidth=0.5,facecolor="blue")
plt.xticks([0,35,70,100])
plt.xlabel("Percentage")
plt.ylabel("No. of Students")
plt.show()


Join us: https://t.me/jupyter_python

Plotting Colourful Pie Chart In MatPlotlib




from matplotlib import pyplot as plt 

student_performance = ["Excellent","Good","Average","Poor"]
student_values = [15,25,12,8]
plt.figure(figsize=(7,10))
plt.pie(student_values,labels=student_performance,startangle=90,
        explode=[0.2,0,0,0],shadow=True,colors=["black","blue","yellow","red"],autopct="%2.1f%%")


plt.legend(title="Perfomances")
plt.show




Popular Posts

Categories

100 Python Programs for Beginner (56) AI (34) Android (24) AngularJS (1) Assembly Language (2) aws (17) Azure (7) BI (10) book (4) Books (174) C (77) C# (12) C++ (82) Course (67) Coursera (228) Cybersecurity (24) data management (11) Data Science (128) Data Strucures (8) Deep Learning (21) Django (14) Downloads (3) edx (2) Engineering (14) Excel (13) Factorial (1) Finance (6) flask (3) flutter (1) FPL (17) Google (34) Hadoop (3) HTML&CSS (47) IBM (25) IoT (1) IS (25) Java (93) Leet Code (4) Machine Learning (60) Meta (22) MICHIGAN (5) microsoft (4) Nvidia (3) Pandas (4) PHP (20) Projects (29) Python (935) Python Coding Challenge (368) Python Quiz (27) Python Tips (2) Questions (2) R (70) React (6) Scripting (1) security (3) Selenium Webdriver (4) Software (17) SQL (42) UX Research (1) web application (8) Web development (4) web scraping (2)

Followers

Person climbing a staircase. Learn Data Science from Scratch: online program with 21 courses