Sample codes for basic Python

GCD & LCM	Greatest common divisor (GCD) & Lowest Common Multiple (LCM).
factorial	Factorial of an input number by looping and by recursive functions
factors	Factors of an input number
Prime Numbers	Prime Numbers
Fibonacci	Fibonacci numbers by looping and by recursive functions
Sum of Digits	Sum of digits of an input number
Multiplication table	Multiplication table using nested for loops
strong number	Check input number is strong number or not
Armstrong number	Check input number is Armstrong number or not
Digit Cubes	Number equal to sum of cubes of its digits
recursion	Getting and setting recursion limits
Date	Exercise on Date & time
Salary	Employee Salary calculation

Sum of three user input numbers

int() to get Integer from String

a=int(input("Enter first Number"))
b=int(input("Enter second Number"))
c=int(input("Enter third Number"))
sum=a+b+c
print(sum)

Enter mark to get status of your division

 m=int(input("Enter your marks"))
if(m>=90):
    print("You have Passed with First Distinction")

else:
    if(m>=60):
        print("You have passed with Second Distinction")
    else:
        if(m>=35):
            print("You have just passed work hard next time")
        else:
            print("Failed")

In place of using multiple if else , it is better to use elif.
Read more how to use elif to get the grade from input mark.

Converting Decimal to Binary number

def my_binary(n):
    i=''
    while n>1:
        a = n%2
        n = n//2
        i=str(a)+i
    i=  str(n%2) +i   
    print (i)
    
a=my_binary(156)

round a number without using round() function

x=float(input("input number "))
y=int(x+0.5)
print(y)

Download the above full source code from Github or run the code in your Google colab platform.

Questions only
https://github.com/plus2net/Python-basics/blob/main/online_class_sample_codes_v1.ipynb

PageSpeed Insights (PSI)

PageSpeed Insights analyzes the content of a web page and generates suggestions to make it faster. This service evaluates web performance using both lab and field data to provide recommendations for improvement.

By leveraging both real-user experiences and simulated environments, PageSpeed Insights offers a comprehensive view of a page's performance. This helps developers optimize their sites, ensuring faster load times and a better user experience. For more information, visit Google's PageSpeed Insights.

import urllib.request, json
key='YOUR_API_KEY' # Use your API key here 

x = "https://www.googleapis.com/pagespeedonline/v5/runPagespeed?url="
x= x + 'https://www.plus2net.com/python/pdf-grid.php'
x= x + '&strategy=desktop' # other value is mobile 
x= x + '&locale=en'
x= x + '&key='+key

response = urllib.request.urlopen(x)
data = json.loads(response.read()) # get the return Json data 
score = data["lighthouseResult"]["categories"]["performance"]["score"]
print(score)

FCP (First Contentful Paint): The time it takes for the first piece of content to appear on the screen.
LCP (Largest Contentful Paint): Measures the loading performance of the largest content element visible in the viewport.
CLS (Cumulative Layout Shift): Evaluates the visual stability by measuring unexpected layout shifts during the page load.
INP (Interaction to Next Paint): Measures the responsiveness by evaluating the time from user interaction to the next frame painted.

fcp = data["loadingExperience"]["metrics"]["FIRST_CONTENTFUL_PAINT_MS"]["percentile"] 
fid = data["loadingExperience"]["metrics"]["FIRST_INPUT_DELAY_MS"]["percentile"]
lcp = data["loadingExperience"]["metrics"]["LARGEST_CONTENTFUL_PAINT_MS"]["percentile"]
cls = data["loadingExperience"]["metrics"]["CUMULATIVE_LAYOUT_SHIFT_SCORE"]["percentile"]/100

print('fcp:',fcp,'fid: ',fid,'lcp:',lcp,'cls:',cls)

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Sample codes in Python