Wednesday, 28 December 2022

Sunday, 25 December 2022

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

 


Complete Playlist : https://bit.ly/3GLnZPy

Solution: 

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


Introduction

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....

print(all([]))

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:

print(all(1))

print(any([]))

print(any([]))

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:

```python

print(all([]))

print(any([]))

```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:

print([])

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!

Conclusion

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++!

https://youtu.be/UAhDtGhx6EA

Saturday, 10 September 2022

Day 102 : Convert CSV to JSON

 

import pandas as pd

import csv,json

data=pd.read_csv("Instagram.csv")

print(data)

print("Converted JSON file below :")

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


#clcoding.com

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

    time.sleep(2)

    

#clcoding.com 



Day 99 : Word Art From an Image Using Python

 


#reading an Image

from PIL import Image

Image.open("wolf.png")

import pywhatkit

pywhatkit.image_to_ascii_art('wolf.png','MyArt')

#reading text file

read_file= open("MyArt.txt","r") 

print(read_file.read())  #clcoding.com

..::.:::.:::.:::.::..::.:::.:::.:::.::..::.:::.:::.:::.::..::..::.:::.:::.:::.::
::.:::.:::.:::.::.:::.:::.:::.:::.:::.::::::.:::.:::.::..::..::.:::.:::.:::.:::.
.:::.:::.:::.:::$#S#*::.:::.:::.:::.::::::.:::.:::.::.:$SS@*:.:::.:::.:::.:::.::
::.:::.:::.::.!#**#S*@:...:::.:::.:::.::.:::.:::.::.:*#**#**$::.:::.:::.:::.:::.
.:::.:::.:::.:#**$*%S*S&%!:..::.::..::.:::..::..:.:%#**S@*$**$.::.:::.:::.:::.::
::.:::.:::.::$**@***&##***S@*..:..!::::#@.:!..:!$&**S##&%**&**!.:::.:::.:::.:::.
::::.:::.::..#**%***%##&&#S**#**$@SSSS***#S#*%S***#&&#&****%**%::.:::.:::.:::.::
::::::.::!@&&**S***%%*%@##&&#******S##SS$#*****#@&#&@%*%%**%**%..::.:::.:::.:::.
::::.:::.:*****#**%@*&%**$##&@S*&#%*******&S*&@&S#$**%#*&%*%S*#@@*:::.::::::::::
::::::::::$***#$**$S***$***@*#@#@*@%***%@*$&@$#*@***@***S$**$#***$:.::::::::::::
:::::::::.*S***&%*%&****%***$*@#*S&@***%&S*S@@S$***$****#***&****$::::::::::::::
:::::::::.%***@%**$&**SS@****@%@$%*******$$&$@&****&****#$**%S***#:.::::::::::::
::::::::::%#**@***@*##$*%**************************%*$&#*&***S***#::::::::::::::
:::::::::!&****@***%************************************%%**@****#*:::::::::::::
::::::::::&***&$%$$*******%*************************%%******$#****%!.:::::::::::
::::::::*@S***##&@%****%@@&&@%*******************%$@@@@@$****%$#****@:..::::::::
:::::::::$****S@*******%*%%$@&@$***************%@@$%%***%*******@S***#$!::::::::
::::::::@****S$***************%$$%************$$%****************@*****@!:::::::
::::::!%S***S@%***************************************************&****#$!::::::
:::::.!@**S@*******************************************************%#**S$:.:::::
::::!$S***#%*************%%$#@*********%*********%#@%%%*************$#***S@!::::
:::.%S****#%**********%@&@@&**@**%*****@%@***%%*%S*@@@@@$%**********%#*****$::::
:::*&S***S&%**********%$&S*S&#*&*$#%**%%%%**@#%$*S&&*#$$$%***********@*****#%!::
::!%****S&$$%%***%$$$%%***@SSS**S$$#%*$@@**@@*@**##S#$***%$@@@$***%%$$@S***S%!::
::..%&###****&*%@@$%***%$@@&&@$$&S#$$*#$&%$%%#*&%*%$@@@@$%**%$@&$*&*****S&&%.:::
::::...:$S*#%**%%****%%$$@@$$$****$@$#&$$@%%@$%***%$@@@$$$%*****%**@S**#!...::::
:::::!$S***#&@**********************%%%%%*%%**********************$&#****@!.::::
:::!$S******#%******$##@@@$$$%*****%$@@@@@@@$%****%$$$$@@##$******%#******S@!.::
::::!!%#***S#SS$****%$&@%%$$%@@****%$@@@@@@@$%***@@%$$%*@&$%****%#S#****#%!!::::
::::.!$$$$&***#*****$@$@$%%@&$@****%$@@@@@@@$%**%@$&$%%@@@@$*****@****@$$$!:::::
::::::..:%S****#&$***$@@$%**$*#****%$@@@@@@@$%***&*%**%$@@$***%%S***&$!..:::::::
.:::.:::*$**$&***&***%%%%***#*@****%%$$$$$$%%%***$S@***%%%%***@***SS&:.::.:::.::
::.:::.::...!&***#@%*******#*$*****@########$****%$S@*******%$&***$::::.:::.:::.
.:::.:::.::%##@#***&%$%****S*&$***$****SS****%**%$#*&*****%*$****$!::.:::.:::.::
::.:::.::::!:...******%%***$*S#$***#********#**%@#**%*****#S#**S%!..:::.:::.:::.
.:::.:::.::..::.!#@S**S@**%%S#*#%***@#&$@##@***%&*S#%***%#S**@&#*.:::.:::.:::.::
::.:::.:::.:::.::.:SS**&@#***&&*&&@$$$$@@$$$$@&&S&#**S&$$*****..:::.:::.:::.:::.
.:::.:::.:::.:::.:!*:$***S&%%*$S%:&%S#****S*$#!*#$*#*@S***S!*!.::.:::.:::.:::.::
::.:::.:::.:::.:::.:.%*&*:.:.&S$**$#********#&!S$S**..:%#*#..::.:::.:::.:::.:::.
.:::.:::.:::.:::.:::.!*..::..!*&&*@**********&S&&*@.::..:%*::.:::.:::.:::.:::.::
::.:::.:::.:::.:::.::..::.:::.**@#*#@S&*#S#$&*S@*#::.:::.::::::.:::.:::.:::.:::.
.:::.:::.:::.:::.::::::.:::.::.%*@#$!*!$%$*%$&&*#:.:::.:::.::.:::.:::.:::.:::.::
::.:::.:::.:::.:::.::.:::.:::..!**&@@@@@&@@@@#**!.::.:::.::::::.:::.:::.:::.:::.
.:::.:::.:::.:::.::::::.:::.::::&**S&$$%*%%&&#*@::.:::.:::.::.:::.:::.:::.:::.::
::.:::.:::.:::.::::::::::.:::.:::$#*****@S****@:.:::.:::.::::::.:::.:::.:::.:::.
.:::.:::.:::.:::.::::::.:::.:::.::.*###***#&@$.:::.:::.::::::::::.:::.:::.:::.::
::::::.:::.:::.::::::::::.:::.:::.::::!$!$!...::.:::.::::::::::.:::.:::.:::.:::.
::::::::.::::::::::::::::::::::.::::::..:..:::::::.:::.::::::::::.:::.::::::::::
::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::


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.")


#clcoding.com

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: ")
#clcoding.com
phonenumber = phonenumbers.parse(a)

#display the location of phone number
print(geocoder.description_for_number(phonenumber,'en'))

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 = Image.open(file)

        im = im.convert('RGB')

        images.append(im)

    

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


        #clcoding.com


# 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 = Image.open(path_to_image)


#Extract text from image

text = pytesseract.image_to_string(img)


print(text)



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 : ")  #clcoding.com


#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

my_barcode.save("generated_barcode")


from PIL import Image #to open the barcde and show

Image.open('generated_barcode.png') #clcoding.com


Day 92 : Details about the Image in Python

 


img=Image.open('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

JPEG
RGB
(500, 271)
None

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.

#clcoding.com

                                            2023

      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
                                                        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 : https://www.clcoding.com/
domain_name : ['CLCODING.COM', 'clcoding.com']
registrar : Google LLC
whois_server : whois.google.com
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
name_servers : ['NS-CLOUD-B1.GOOGLEDOMAINS.COM', 'NS-CLOUD-B2.GOOGLEDOMAINS.COM', 'NS-CLOUD-B3.GOOGLEDOMAINS.COM', 'NS-CLOUD-B4.GOOGLEDOMAINS.COM']
status : ['clientTransferProhibited https://icann.org/epp#clientTransferProhibited', 'clientTransferProhibited https://www.icann.org/epp#clientTransferProhibited']
emails : registrar-abuse@google.com
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:

        notification.notify(

            title = "ALERT!!!",

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

            timeout = 10

        )

        time.sleep(3600)

        

#clcoding.com


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 = video.download(output_path=destination)


# save the file

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

new_file = base + '.mp3'

os.rename(out_file, new_file)   #clcoding.com


# 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)

cv.convert(docx_file)

cv.close()


#clcoding.com

[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()

n.add_patch(a)

n.add_patch(b)

n.add_patch(c)

#AshokChakra Circle

radius=0.8

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)

n.add_artist(chakra)

#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'))

py.axis('equal')

py.show() #clcoding.com






Day 82 : Unzip Files using Python

 


from zipfile import ZipFile


with ZipFile('binod.zip', 'r') as zip_object:

    zip_object.extractall()

    

#list of files that are archived in the ZIP file

print(zip_object.namelist())


#clcoding.com

['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)


#clcoding.com

Enter the URL to shorten: https://www.clcoding.com/p/python.html
The Shortened URL is: https://tinyurl.com/2zb6hedv

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()

    speaker.say(text)  #clcoding.com

    speaker.runAndWait() 

# stop the speaker after completion

speaker.stop()

# save the audiobook at specified path 

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

engine.runAndWait() 


Day 78 : Image Watermarking with Python

 

from PIL import Image, ImageDraw, ImageFont

img = Image.open(r'binod.jpg') 

draw = ImageDraw.Draw(img) 

text = "clcoding.com"

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

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

width, height = img.size 

x=width/2-textwidth/2

y=height-textheight-50

draw.text((x, y), text, font=font) 

img.save(r'binod.png')

Image.open('binod.png') 



Day 77 : Python program to print Emojis

 


import emoji


print(emoji.emojize(":India:"))

print(emoji.emojize(":books:"))

print(emoji.emojize(":red_heart:")) 

print(emoji.emojize(":hibiscus:"))

print(emoji.emojize(":rose:"))

print(emoji.emojize(":baby:"))


#clcoding.com

🇮🇳
📚
❤️
🌺
🌹
👶

Day 76 : Generate Image captcha in Python

 


from captcha. Image import ImageCaptcha 

# Specify the image size

image = ImageCaptcha(width = 300, height = 100)

# Specify the Text for captcha

captcha_text = input("Enter Captcha text : ")   

# generate the image of the given text

data = image.generate(captcha_text)  

#clcoding.com   

# write the image on the given file and save it

image.write(captcha_text, 'E:\CAPTCHA1.png')

from PIL import Image

Image.open('E:\CAPTCHA1.png')

Enter Captcha text : python
Out[6]:

Day 74 : Python Program to Check a Number is a Disarium Number

 


Number = int(input("Enter the Number to Check Disarium Number = "))

length = len(str(Number))

Temp = Number

Sum = 0

rem = 0 #clcoding.com

while Temp > 0:

    rem = Temp % 10

    Sum = Sum + int(rem**length)

    Temp = Temp // 10

    length = length - 1


print("The Sum of the Digits = %d" %Sum)

if Sum == Number:

    print("\n%d is a Disarium Number." %Number)

else:

    print("%d is Not a Disarium Number." %Number)

Enter the Number to Check Disarium Number = 175
The Sum of the Digits = 175

175 is a Disarium Number.

Day 73 : Get address detail through python code

 


from geopy.geocoders import Nominatim 


# Using Nominatim Api

geolocator = Nominatim(user_agent="geoapiExercises")


# Zipocde input

a = input("Enter the zipcode : ")

zipcode = a   


# Using geocode()

location = geolocator.geocode(zipcode)


# Displaying address details

print("Zipcode:",zipcode)

print("Details of the Zipcode:")

print(location)

#clcoding.com

Enter the zipcode : 411045
Zipcode: 411045
Details of the Zipcode:
Pune City, Maharashtra, 411045, India

Day 71 : Gif Creation in Python

 

import imageio

filenames = ["1.png","3.png","4.png"]

#you can add any type of image

images = []

for filename in filenames:

    images.append(imageio.imread(filename))

imageio.mimsave('ritesh1.gif', images,'GIF',duration=1)

#you can add duration as per your need

#clcoding.com


Popular Posts

Categories

100 Python Programs for Beginner (53) AI (34) Android (24) AngularJS (1) Assembly Language (2) aws (17) Azure (7) BI (10) book (4) Books (173) C (77) C# (12) C++ (82) Course (67) Coursera (226) Cybersecurity (24) data management (11) Data Science (128) Data Strucures (8) Deep Learning (20) 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 (59) Meta (22) MICHIGAN (5) microsoft (4) Nvidia (3) Pandas (4) PHP (20) Projects (29) Python (932) Python Coding Challenge (358) Python Quiz (23) Python Tips (2) Questions (2) R (70) React (6) Scripting (1) security (3) Selenium Webdriver (3) Software (17) SQL (42) UX Research (1) web application (8) Web development (2) web scraping (2)

Followers

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