Saturday, 22 April 2023

Object Oriented Programming in Python

 Object-oriented programming (OOP) is a programming paradigm that is based on the concept of "objects," which can contain data and code to manipulate that data. Python is an object-oriented programming language that supports OOP concepts such as inheritance, encapsulation, and polymorphism. Here are some key concepts and syntax used in Python for OOP:

Class: A class is a blueprint or template for creating objects. It defines a set of attributes and methods that the objects of that class will have.


class ClassName:

    # class attributes

    attribute1 = value1

    attribute2 = value2

    # class methods

    def method1(self):

        # method code

    def method2(self):

        # method code

Object: An object is an instance of a class. It has its own set of attributes and methods that were defined in the class.
# create an object of class ClassName
object_name = ClassName()

Method: A method is a function that is defined inside a class and can be called on an object of that class.
# call method1 on object_name

Attribute: An attribute is a variable that is defined inside a class and can be accessed by objects of that class.
# access attribute1 of object_name

Inheritance: Inheritance is a mechanism in which a new class is created from an existing class. The new class, called the subclass or derived class, inherits the attributes and methods of the existing class, called the superclass or base class.
# create a subclass of superclass
class SubclassName(SuperclassName):
    # subclass attributes
    attribute3 = value3

    # subclass methods
    def method3(self):
        # method code

Polymorphism: Polymorphism is the ability of objects of different classes to be used interchangeably. It allows the same method to be called on different objects, and the behavior of the method will depend on the object it is called on.
# create two objects of different classes
object1 = ClassName1()
object2 = ClassName2()

# call the same method on both objects

These are some of the key concepts and syntax used in Python for OOP. By using OOP concepts, you can write modular and reusable code that is easier to maintain and understand.

Sunday, 26 March 2023

Top 5 examples of Python decorators:

 @staticmethod: This decorator is used to define a static method in a class. A static method is a method that can be called on the class itself rather than on an instance of the class. Here's an example:

class MyClass:


    def my_static_method():

        print("This is a static method")

@classmethod: This decorator is used to define a class method in a class. A class method is a method that takes the class itself as its first argument rather than an instance of the class. Here's an example:

class MyClass:

    class_var = "Hello"



    def my_class_method(cls):


@property: This decorator is used to define a method as a property of a class. Properties allow you to access and set the value of an attribute of an instance of the class without explicitly calling a getter or setter method. Here's an example:

class MyClass:

    def __init__(self):

        self._x = 0



    def x(self):

        return self._x



    def x(self, value):

        if value < 0:

            raise ValueError("Value must be non-negative")

        self._x = value

@log_calls: This decorator can be used to log all calls to a function. Here's an example:

def log_calls(func):

    def wrapper(*args, **kwargs):

        print(f"Calling {func.__name__} with args: {args}, kwargs: {kwargs}")

        result = func(*args, **kwargs)

        print(f"Finished {func.__name__}")

        return result

    return wrapper


def my_function(x, y):

    return x + y

@cache: This decorator can be used to cache the results of a function so that the function doesn't need to be called again with the same arguments. Here's an example:

def cache(func):

    results = {}

    def wrapper(*args):

        if args in results:

            return results[args]

        result = func(*args)

        results[args] = result

        return result

    return wrapper


def fibonacci(n):

    if n < 2:

        return n

    return fibonacci(n-1) + fibonacci(n-2)

5 awesome hidden features in Python

 Walrus operator (:=): This operator allows you to assign and return a value in the same expression. It can be particularly useful in list comprehensions or other situations where you need to assign a value to a variable and use it in a subsequent expression. Here's an example:

if (n := len(my_list)) > 10:

    print(f"List is too long ({n} elements, expected <= 10)")

Extended Iterable Unpacking: This feature allows you to unpack an iterable into multiple variables, including a "catch-all" variable that gets assigned any remaining items in the iterable. Here's an example:

first, *middle, last = my_list

In this example, first is assigned the first item in my_list, last is assigned the last item, and middle is assigned all the items in between.

Underscore as a placeholder: In interactive Python sessions, you can use the underscore (_) as a shorthand for the result of the last expression. This can be useful if you need to reuse the result of a previous command. Here's an example:

>>> 3 * 4
>>> _ + 5

slots attribute: The __slots__ attribute allows you to define the attributes of a class and their data types in advance, which can make the class more memory-efficient. Here's an example:

class MyClass:
    __slots__ = ("x", "y")
    def __init__(self, x, y):
        self.x = x
        self.y = y

In this example, we are defining a class with two attributes (x and y) and using the __slots__ attribute to define them in advance.

Callable instances: In Python, instances of classes can be made callable by defining a __call__ method. This can be useful if you want to create objects that behave like functions. Here's an example:

class Adder:
    def __init__(self, n):
        self.n = n
    def __call__(self, x):
        return self.n + x
add_five = Adder(5)
result = add_five(10)
print(result)  # Output: 15

In this example, we are defining a class Adder that takes a number n and defines a __call__ method that adds n to its argument. We then create an instance of Adder with n=5 and use it like a function to add 5 to 10, resulting in 15.

Wednesday, 22 March 2023

Creating a LOG IN form by taking image in background

In this we are going to make a Log_In form in which login filling options will be in a transparent box. And you can add your own background image also. 

Note*:- TO change the background go inside the style tag. Inside style tag go to the body and in background-image change the address of the url , give the address of the image which you want to keep in your background. Now,your image will be display on background.



Foget Password?

  <!DOCTYPE html>
<html lang="en">
    <meta charset="UTF-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    background-image: url('/images/flower.jpg');
    background-position-x: center;
    background-size: cover;
    text-align: center;
    padding: 28px ;
    margin-left: 30%;
    margin-right: 30%;
    background-color: rgb(238, 192, 234);
    border-radius: 20px;
    display: block;
    box-shadow: 0 15px 20px rgba(0,0,0,.2);
    opacity: 0.8;
    background-color: rgba(223, 210, 227, 0.9);
    border-radius: 25px;
    opacity: 0.9;
    margin-left: 30%;
    margin-right: 30%;
    text-align: center;
input[type=text] , input[type=password]
    width: 350px;   
    margin: 8px 0;
    padding: 12px 20px;   
    display: inline-block ;   
    border: 2px solid skyblue;
    border-radius: 9px;
    box-sizing: border-box ;
    background-color: #c120ac;   
         width: 30%;  
         border-radius: 20px;
          color: black;   
          padding: 15px;   
          margin: 10px 0px;   
          border: none;   
          cursor: pointer;
    opacity: 0.7;
    <h2 class="txt">
    <form action="login.php">
        <div class="container">
            <label>Username</label> <br>
            <input type="text" name="username" placeholder="Enter Your Username" required> <br>
            <label >Password</label> <br>
            <input type="password" name="password" placeholder="Enter Your Password" required> <br>
            <button  type="submit">LOG IN</button>
            <button  type="reset">SIGN UP</button> <br>
            <a href="#">Foget Password?</a>


 OUTPUT:-The image in background is what I have selected in background you can choose your own it will be displayed like this only and you can change the colour of the box also inside the style tag in .txt and .container.

Friday, 17 March 2023

Fancy Hover Buttons in HTML using CSS

 In this we are going to add three types of hover button styles which will make your buttons very innovative and attractive.

1.Border Pop

2.Background Slide

3.Background Circle


<!DOCTYPE html>
<html lang="en">
    <meta charset="UTF-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Fancy Buttons</title>
        * ,*::before ,*::after{
            box-sizing: border-box;
            display: flex;
            justify-content: center;
            align-items: center;
            flex-wrap: wrap;
            margin: 0;
            margin: 1rem;
            background-color: var(--background-color);
            color: #222;
            padding: .5em 1em;
            border: none;
            outline: none;
            position: relative;
            cursor: pointer;

            --background-color: #E3E3E3;
            --accent-color: #0af;
            content: "";
            position: absolute;
            top: 0;
            left: 0;
            right: 0;
            z-index: -1;
            border: var(--border-size) solid var(--background-color);
            transition: top,left,right,bottom,100ms ease-in-out;
            top: calc(var(--border-size)* -2);
            left: calc(var(--border-size)* -2);
            right: calc(var(--border-size)* -2);
            bottom: calc(var(--border-size)* -2);
            content: "";
            position: absolute;
            top: 0;
            left: 0;
            right: 0;
            bottom: 0;
            background-color: var(--accent-color);
            z-index: -1;
            transition: transform 300ms ease-in-out;
            transform: scale(0);
            transform-origin: left;   
        transform: scale(1);


            z-index: 1;
            transition: color 300ms ease-in-out;
            color: white;
         content: "";
         position: absolute;
         top: 0;
         bottom: 0;
         z-index: -1;
         background-color: var(--background-color);
         border-radius: 50%;
         transition: transform 500ms ease-in-out;

         transform: scale(1.5);

            overflow: hidden;
            background-color: black;
            transition: color 500ms ease-in-out;
              color: white;

        .btn.btn-border-underline::before {
            content: "";
            color: brown;
            position: absolute;
            left: 0;
            right: 0;
            bottom: 0;
            height: var(--border-size);
            background-color: var(--accent-color);
            transform: scaleX(0);

    <button class="btn btn-border-pop">Border Pop</button>
    <button class="btn btn-background-slide">Background Slide</button>
    <button class="btn btn-background-circle">Background Circle</button>


Monday, 2 January 2023

Wednesday, 28 December 2022

Sunday, 25 December 2022

Python Quiz | Day 35 | What is the output of following code ?


Complete Playlist :


Answer: D. Explanation:

The list.pop method removes an element from the list, and returns the removed element.

When used without arguments, pop removes and returns the last element of the list.

When an argument index is specified, 

li.pop(index) removes the element li[index] from li, and returns the removed element.

When li.pop(1) is executed, li[1] is removed from li, and the removed value is returned.

Here li[1] is 3. Therefore, li is modified to [2,1], and the return value from li.pop(1) is 3

Sunday, 2 October 2022

Lazy Operators 🥱 --- Python


Python is a great language to learn, but it can be hard to pick up if you’ve never programmed before. A lot of the syntax and functions are pretty weird when compared to other languages like JavaScript, Ruby or Java. Luckily, Python has some helpful built-in functions that make it easier for beginners to get started learning programming. In this blog post we will take a look at some of these functions and how they can help us become more efficient programmers in our daily lives!

#Guess the output in this case?

The following Python code is an example of lazy operators. This section shows how to use them in your own programs, but we will first use the examples provided by the python documentation:

  • print(all([])) - returns all items from a list (or other iterable), without necessarily creating any copies. It's like calling len() on a list and then getting its length.

  • print(any([])) - returns true if at least one item in a list satisfies some condition . For example, if you want to know whether there are any numbers greater than 10 inside [10], then it would be easier just to test each number one by one rather than doing this whole loop thingy....


You can use the all() function to print all of the elements in a list. For example, this will print all numbers in the range:

print(all([1, 2, 3]))

If you want to print only one element from the list, you can use an index:




The first line of code is the same as above, but in Python it looks for a false element. The algorithm looks for the first occurrence of a true element and, if none were found, returns False. Since the sequence is empty, there are no elements that can be true so this runs through and prints False

Explanation :

The first thing that you need to know about lazy operators is that they are lazy. This means that when we use them, we can only get the result at a later time. Here's an example:




```The first two lines print out all elements in their operands but do not return any values, because there are no true cases present in those expressions yet. If you were expecting a set or list of tuples as an answer from these expressions and wanted to see if an element existed before returning false, then it would work just fine with these operators -- but what if I told you there was another way?

"""Function all() is a little complicated,

"""Function all() is a little complicated, but you already know how it works.

It accepts one argument and returns a list containing the items in the reversed order. This can be useful for doing things like summing up numbers or sorting them by value. It's also useful for making sure that only unique values are present in your data structures (e.g., if you have an array of dictionaries and one of them contains duplicate keys).

The problem with this function is that it requires more memory than necessary because we don't need to keep track of what order our results will be returned in; they'll always be sorted automatically by Python when they come back from our function call! That means there's no reason not removing those extra elements from both sides before feeding them into any other operation such as filter().

since it represents the concept of vacuous truth.

Since it represents the concept of vacuous truth, the all() function returns True if all elements are true. The any() function returns True if any element is true.

Like with chained lazy logical operators,

If you're looking for the first non-false element, then all([]), like lazy operators, is a function that returns True when provided with any other value.

However, since there are no false elements in an empty sequence (and since Python doesn't have built-in logic to check for nulls), print(all([])) prints True:


the algorithm is to look for the first false element,

The algorithm is to look for the first false element and, if none were found, return True. If any element of the iterable is true, then return True.

The following code snippet demonstrates how this works in Python:

and if none were found then return True.

The if statement is one of the most useful features in Python. It allows you to check whether or not an element is true, and if none were found then return True.

The following code:

if x > 0 and y < 10:

yields this output: True

Since there are no false elements in an empty sequence, print(all([])) prints True.

Since there are no false elements in an empty sequence, print(all([])) prints True.

However, there is another way to achieve this effect: we can simply use the bool() function! The boolean value of x is true if x is equal to true or false (or any other value that Python determines as being truthy). Using this check for equality will return a boolean result when called on a list containing only one element.

In function any(), it will return True if any element of the iterable is true.

The function any() is the opposite of all(). It will return True if any element in the iterable is true.

If we pass an empty list, no elements will be returned by this function.

For example:

```python print(["Hello", "World"]) # [1] print([]).any() # True```

Logical operators in Python are lazy! The algorithm looks for the first

The first thing that you need to know about lazy operators in Python is that they are the ones that evaluate only when necessary.

The example above shows how logical operators work: the first one to be evaluated is any(), which evaluates to True and then all() evaluates to True, since there are no false elements in the list. If we had another list with three elements and processed it like this (using ** operator), we would have got an empty list back! You might have noticed another thing here—that's right, both operands must be lists!

occurrence of a true element and, if none were found, returns False,

The first true element is found, and if none were found, returns False.

If you have a list of lists , then this means that it's false for every single element in the list. This can be useful for testing whether a given value is true or false (or both). For example:

>>> L = [True, False] # create an empty list

>>> L[0].append(True) # append some values to the beginning of our original list

You'll get back True!

Since the sequence is empty, there are no elements that can be true,

Since the sequence is empty, there are no elements that can be true. So, all() evaluates its argument immediately and returns True.

On the other hand, any() evaluates its argument only when you call it. This means that if you call any() with a sequence containing an element that does not exist in your dataset (for example if we were to create an empty list), then it would return False since there is nothing else for it to consider as true or false.

therefore print(any([]))prints False."""

The truth is that print(any([]))prints False."""

The reason this works is because the equality operator == returns True if both operands are equal. Therefore, any() will return True only if all elements of the iterable are true. So when we pass an empty list to any(), it will return True and then print() will print out “False” in our console!


Python is a dynamic, interpreted language that encourages you to think as you code. It has an elegant syntax that is easy to learn, even for complete beginners. Although it has a reputation for being slow and complicated, Python’s simplicity and dynamic nature make it an ideal language for data science projects. You can use Python to explore machine learning techniques or build web apps from scratch without having any technical knowledge of programming languages like Java or C++!

Saturday, 10 September 2022

Day 102 : Convert CSV to JSON


import pandas as pd

import csv,json



print("Converted JSON file below :")

print (json.dumps(list(csv.reader(open('Instagram.csv')))))

Impressions  Home  Hashtags  Explore  Other  Saves

0         3920  2586      1028      619     56     98

1         5394  2727      1838     1174     78    194

2         4021  2085      1188        0    533     41

3         4528  2700       621      932     73    172

Converted JSON file below :

[["Impressions", "Home", "Hashtags", "Explore", "Other", "Saves"], ["3920", "2586", "1028", "619", "56", "98"], ["5394", "2727", "1838", "1174", "78", "194"], ["4021", "2085", "1188", "0", "533", "41"], ["4528", "2700", "621", "932", "73", "172"]]

Day 100 : Python script that’ll keep you “online” all day


#import the library pyautogui

import pyautogui

#imports the time library

import time

#run the next lines of code while the state is set as “True”

while True:

    #move your cursor 10 pixels

    pyautogui.moveRel(0, 10)

    #pauses your code from running for 2 seconds


Day 99 : Word Art From an Image Using Python


#reading an Image

from PIL import Image"wolf.png")

import pywhatkit


#reading text file

read_file= open("MyArt.txt","r") 



Day 98 : Convert Decimal number into other number using Python


# Python program to convert decimal into other number systems

dec = int(input("Enter a Decimal Number: "))

#decimal to binary

print(bin(dec), "in Binary.")

#decimal to octal

print(oct(dec), "in Octal.")

#decimal to Hexadecimal

print(hex(dec), "in Hexadecimal.")

Enter a Decimal Number: 9999
0b10011100001111 in Binary.
0o23417 in Octal.
0x270f in Hexadecimal.

Friday, 2 September 2022

Day 96 : Track phone number using Python


import phonenumbers

#import geocoder
from phonenumbers import geocoder

#specify then phone number
a = input("Enter the Phone Number: ")
phonenumber = phonenumbers.parse(a)

#display the location of phone number

Enter the Phone Number: +447894561236
United Kingdom

Tuesday, 30 August 2022

Day 95 : Images To PDF conversion using Python


from PIL import Image

def Images_Pdf(filename, output):

    images = []

    for file in filename:

        im =

        im = im.convert('RGB')



        images[0].save(output, save_all=True, append_images=images[1:])

# Images Path , output pdf

Images_Pdf(["binod_mirror.png", "binod.png", "binod.jpg"], "output.pdf") 

Day 94 : Extract Text from Image using Python


pip install pytesseract

pip install pillow

from PIL import Image

from pytesseract import pytesseract

#Define path to tessaract.exe

path_to_tesseract = r'C:\Program Files\Tesseract-OCR\tesseract.exe'

#Define path to image

path_to_image = 'texttoimage.png'

#Point tessaract_cmd to tessaract.exe

pytesseract.tesseract_cmd = path_to_tesseract

#Open image with PIL

img =

#Extract text from image

text = pytesseract.image_to_string(img)


Day 93 : Generate Barcode using Python


pip install python-barcode

import barcode

from barcode.writer import ImageWriter


#Define content of the barcode as a string

number = input("Enter the code to generate barcode : ")

#Get the required barcode format

barcode_format = barcode.get_barcode_class('upc')

#Generate barcode and render as image

my_barcode = barcode_format(number, writer=ImageWriter())


#Save barcode as PNG"generated_barcode")

from PIL import Image #to open the barcde and show'generated_barcode.png')

Day 92 : Details about the Image in Python'binod.jpg') 

# The file format of the source file.

print(img.format) # Output: JPEG

# The pixel format used by the image. 

#Typical values are "1", "L", "RGB", or "CMYK."

print(img.mode) # Output: RGB

# Image size, in pixels.

print(img.size) # Output: (1920, 1280)

print(img.palette) # Output: None

(500, 271)

Friday, 26 August 2022

Day 90 : Whole Year Calendar in Python


from calendar import* 

year = int(input('Enter Year:')) 

print(calendar(year, 2, 1, 8, 4)) 

#2 = 2 characters for days (Mo,Tu, etc)

#1 = 1 line (row) for each week

#8 = 8 rows for each month

#4 = 4 columns for all months of the year.


      January                     February                     March                       April
Mo Tu We Th Fr Sa Su        Mo Tu We Th Fr Sa Su        Mo Tu We Th Fr Sa Su        Mo Tu We Th Fr Sa Su
                   1               1  2  3  4  5               1  2  3  4  5                        1  2
 2  3  4  5  6  7  8         6  7  8  9 10 11 12         6  7  8  9 10 11 12         3  4  5  6  7  8  9
 9 10 11 12 13 14 15        13 14 15 16 17 18 19        13 14 15 16 17 18 19        10 11 12 13 14 15 16
16 17 18 19 20 21 22        20 21 22 23 24 25 26        20 21 22 23 24 25 26        17 18 19 20 21 22 23
23 24 25 26 27 28 29        27 28                       27 28 29 30 31              24 25 26 27 28 29 30
30 31

        May                         June                        July                       August
Mo Tu We Th Fr Sa Su        Mo Tu We Th Fr Sa Su        Mo Tu We Th Fr Sa Su        Mo Tu We Th Fr Sa Su
 1  2  3  4  5  6  7                  1  2  3  4                        1  2            1  2  3  4  5  6
 8  9 10 11 12 13 14         5  6  7  8  9 10 11         3  4  5  6  7  8  9         7  8  9 10 11 12 13
15 16 17 18 19 20 21        12 13 14 15 16 17 18        10 11 12 13 14 15 16        14 15 16 17 18 19 20
22 23 24 25 26 27 28        19 20 21 22 23 24 25        17 18 19 20 21 22 23        21 22 23 24 25 26 27
29 30 31                    26 27 28 29 30              24 25 26 27 28 29 30        28 29 30 31

     September                    October                     November                    December
Mo Tu We Th Fr Sa Su        Mo Tu We Th Fr Sa Su        Mo Tu We Th Fr Sa Su        Mo Tu We Th Fr Sa Su
             1  2  3                           1               1  2  3  4  5                     1  2  3
 4  5  6  7  8  9 10         2  3  4  5  6  7  8         6  7  8  9 10 11 12         4  5  6  7  8  9 10
11 12 13 14 15 16 17         9 10 11 12 13 14 15        13 14 15 16 17 18 19        11 12 13 14 15 16 17
18 19 20 21 22 23 24        16 17 18 19 20 21 22        20 21 22 23 24 25 26        18 19 20 21 22 23 24
25 26 27 28 29 30           23 24 25 26 27 28 29        27 28 29 30                 25 26 27 28 29 30 31
                            30 31

Day 89 : Get Domain Name Information using Python


import whois

domain=input("Enter your Domain : ")

domain_info = whois.whois(domain)

for key, value in domain_info.items():

    print(key,':', value)

Enter your Domain :
domain_name : ['CLCODING.COM', '']
registrar : Google LLC
whois_server :
referral_url : None
updated_date : 2022-04-12 07:43:54
creation_date : 2019-04-12 02:05:57
expiration_date : 2023-04-12 02:05:57
status : ['clientTransferProhibited', 'clientTransferProhibited']
emails :
dnssec : unsigned
name : Contact Privacy Inc. Customer 7151571251
org : Contact Privacy Inc. Customer 7151571251
address : 96 Mowat Ave
city : Toronto
state : ON
registrant_postal_code : M4K 3K1
country : CA

Sunday, 21 August 2022

Wednesday, 17 August 2022

Day 85 : Desktop Notification with Python


pip install plyer

import time

from plyer import notification

if __name__ == "__main__":

    while True:


            title = "ALERT!!!",

            message = "Take a break! It has been an hour!",

            timeout = 10



Tuesday, 16 August 2022

Day 84 : Download YouTube Video in MP3 format with Python

 # importing packages

from pytube import YouTube

import os

# url input from user

yt = YouTube(str(input("Enter the URL of the video you want to download: \n>> ")))

# extract only audio

video = yt.streams.filter(only_audio=True).first()

# check for destination to save file

print("Enter the destination (leave blank for current directory)")

destination = str(input(">> ")) or '.'

# download the file

out_file =

# save the file

base, ext = os.path.splitext(out_file)

new_file = base + '.mp3'

os.rename(out_file, new_file)

# result of success

print(yt.title + " has been successfully downloaded in .mp3 format.")

Monday, 15 August 2022

Day 83 : Convert PDF to docx using Python


from pdf2docx import Converter

pdf_file = 'clcoding.pdf'

docx_file = 'clcoding.docx'

cv = Converter(pdf_file)



[INFO] Start to convert clcoding.pdf
[INFO] [1/4] Opening document...
[INFO] [2/4] Analyzing document...
[INFO] [3/4] Parsing pages...
[INFO] (1/1) Page 1
[INFO] [4/4] Creating pages...
[INFO] (1/1) Page 1
[INFO] Terminated in 0.16s.

Indian Flag using Python || हर घर तिरंगा || #azadikaamritmahotsav

INDIAN Flag in Python. All dimensions are as per our INDIAN standards. Let us know if you have any suggestions.

import numpy as np

import matplotlib.pyplot as py

import matplotlib.patches as patch

#Plotting the tri colours in national flag

a = patch.Rectangle((0,1), width=9, height=2, facecolor='#138808', edgecolor='grey')

b = patch.Rectangle((0,3), width=9, height=2, facecolor='#ffffff', edgecolor='grey')

c = patch.Rectangle((0,5), width=9, height=2, facecolor='#FF6103', edgecolor='grey')

m,n = py.subplots()




#AshokChakra Circle


py.plot(4.5,4, marker = 'o', markerfacecolor = '#000080', markersize = 9.5)

chakra = py.Circle((4.5, 4), radius, color='#000080', fill=False, linewidth=7)


#24 spokes in AshokChakra

for i in range(0,24):

   p = 4.5 + radius/2 * np.cos(np.pi*i/9 + np.pi/48)

   q = 4.5 + radius/2 * np.cos(np.pi*i/9 - np.pi/48)

   r = 4 + radius/2 * np.sin(np.pi*i/9 + np.pi/48)

   s = 4 + radius/2 * np.sin(np.pi*i/9 - np.pi/48)

   t = 4.5 + radius * np.cos(np.pi*i/9)

   u = 4 + radius * np.sin(np.pi*i/9)

   n.add_patch(patch.Polygon([[4.5,4], [p,r], [t,u],[q,s]], fill=True, closed=True, color='#000080'))


Day 82 : Unzip Files using Python


from zipfile import ZipFile

with ZipFile('', 'r') as zip_object:



#list of files that are archived in the ZIP file


['binod.jpg', 'BumBumBole.gif', 'clcoding.pdf', 'file1.pdf']

Day 81 : URL Shortener with Python - Tinyurl


import pyshorteners

long_url = input("Enter the URL to shorten: ")

##TinyURL shortener service

type_tiny = pyshorteners.Shortener()

short_url = type_tiny.tinyurl.short(long_url) 

print("The Shortened URL is: " + short_url)

Enter the URL to shorten:
The Shortened URL is:

Day 80 : Create an Audiobook in Python


import PyPDF2

import pyttsx3

engine = pyttsx3.init()

# Read the pdf by specifying the path in your computer

pdfReader = PyPDF2.PdfFileReader(open('clcoding.pdf', 'rb'))

# Get the handle to speaker

speaker = pyttsx3.init() 

# split the pages and read one by one

for page_num in range(pdfReader.numPages):

    text =  pdfReader.getPage(page_num).extractText()



# stop the speaker after completion


# save the audiobook at specified path 

engine.save_to_file(text, 'E:\audio.mp3')


Day 78 : Image Watermarking with Python


from PIL import Image, ImageDraw, ImageFont

img ='binod.jpg') 

draw = ImageDraw.Draw(img) 

text = ""

font = ImageFont.truetype('arial.ttf', 50)

textwidth, textheight = draw.textsize(text, font)

width, height = img.size 



draw.text((x, y), text, font=font)'binod.png')'binod.png') 

Day 77 : Python program to print Emojis


import emoji








Codecademy Code Foundations

Popular Posts


Android (23) AngularJS (1) Assembly Language (2) Books (11) C (75) C# (12) C++ (81) Course (3) Data Science (1) Data Strucures (4) Downloads (1) Engineering (13) flutter (1) FPL (17) Hadoop (1) HTML&CSS (40) IS (25) Java (89) Leet Code (4) Pandas (2) PHP (20) Projects (19) Python (435) R (69) Selenium Webdriver (2) Software (14) SQL (27)