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 :

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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")

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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

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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

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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()

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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

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HANDLING MISSING DATA (FillNa) IN PANDAS

Firstly, we are importing an excel sheet as a DataFrame,

 

import pandas as pd

ds = pd.read_excel("C:\\Users\\mahes\\OneDrive\\Documents\\Students.xlsx")

dt = pd.DataFrame(ds)

print(dt)

Now, Let's perform some operations related to FillNa()

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HANDLING MISSING DATA (dropna) IN PANDAS

Firstly, we are importing an excel sheet as a DataFrame,

 

import pandas as pd

ds = pd.read_excel("C:\\Users\\mahes\\OneDrive\\Documents\\Students.xlsx")

dt = pd.DataFrame(ds)

print(dt)

Now, Let's perform some operations related to DROPNA

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ILOC[ ] IN PANDAS - PYTHON

Firstly, we are importing an excel sheet as a DataFrame,

 

import pandas as pd

ds = pd.read_excel("C:\\Users\\mahes\\OneDrive\\Documents\\Students.xlsx")

dt = pd.DataFrame(ds)

Now, Let's perform some operations related to ILOC 

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LOC[ ] IN PANDAS - PYTHON

LOC[ ] IN PANDAS

Firstly, we are importing an excel sheet as a DataFrame,

 

import pandas as pd

ds = pd.read_excel("C:\\Users\\mahes\\OneDrive\\Documents\\Students.xlsx")

dt = pd.DataFrame(ds)

Now, Let's perform some operations related to LOC and ILOC 

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EXPORT DATAFRAME TO EXCEL, CSV & TEXT FILE IN PANDAS || SAVE DATAFRAME IN PANDAS

EXPORT DATAFRAME TO EXCEL, CSV & TEXT FILE IN PANDAS 

Firstly, we are importing an excel sheet as a DataFrame,

 

import pandas as pd

st = pd.read_excel("C:\\Users\\mahes\\OneDrive\\Documents\\Students.xlsx")

sd = pd.DataFrame(st)

print(st)

Making some changes in the dataframe

st['Total']=st['Hindi']+st['English'] +st['Science'] +st['History']+st['Mathematics']

Now, exporting the DataFrame as Excel, CSV and Text File

sd.to_excel("C:\\Users\\mahes\\OneDrive\\Desktop\\StudentsNew.xlsx")

sd.to_csv("C:\\Users\\mahes\\OneDrive\\Desktop\\StudentsNew.csv")

sd.to_csv("C:\\Users\\mahes\\OneDrive\\Desktop\\StudentsNew.txt" ,sep = "\t")

As you can see we have created three new files.

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SORTING DATAFRAME (BY COLUMN) IN PANDAS (Part-2) - PYTHON PROGRAMMING

#SORTING DATAFRAME (BY COLUMN) IN PANDAS (Part-2) - PYTHON PROGRAMMING

Listing Two Rows

df[['Name','Total_Marks']]

df = df.drop(columns = "Total_Marks")

print(df)

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MANIPULATING DATAFRAME IN PANDAS (ADD COLUMN , DROP COLUMN) || DATAFRAME MANIPULATIONS

import pandas as pd 

dt = pd.read_excel("C:\\Users\\mahes\\OneDrive\\Documents\\Students.xlsx")

df = pd.DataFrame(dt)

print(df)

df['Total_Marks'] = 0

print(df)

df['Total_Marks'] = df['Hindi']+df['English']

df

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SORTING DATAFRAME (BY COLUMN) IN PANDAS - PYTHON PROGRAMMING

#SORTING DATAFRAME (BY COLUMN) IN PANDAS 

#clcoding

import pandas as pd

dt = pd.read_excel("FILE_NAME")

print(dt)

df = pd.DataFrame(dt)

df.sort_values("MAXMTEMPERATURE", ascending = False)

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How do you generate random Password?

#How do you generate 8 random character?

#clcoding

from string import printable

from random import choice

print(*[choice(printable) for _ in range(8)], sep = '') 

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How do you reverse the string without take another string?

#How do you reverse the string without take another string?

#clcoding

s = 'hello'

n = -1

for x in s:

    n += 1

while n >= 0:

    print(s[n], end = '')

    n -= 1

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INDEXING & SLICING DATAFRAMES IN PANDAS [PART 3]- PYTHON PROGRAMMING

INDEXING & SLICING DATAFRAMES IN PANDAS

data_frame(start:step:stop)

data_frame(col_name)

data_frame(col_name)[index_value]

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INDEXING & SLICING DATAFRAMES IN PANDAS [PART 2]- PYTHON PROGRAMMING

INDEXING & SLICING DATAFRAMES IN PANDAS

Shape()

loc()

Columns()

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INDEXING & SLICING DATAFRAMES IN PANDAS [PART 1]- PYTHON PROGRAMMING

INDEXING & SLICING DATAFRAMES IN PANDAS

head( )

tail( )

describe( )

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