Creating a simple python API using Flask

Input: {“operation”: “sum”, “operands”: [2,2,4]}

“operation” can be average, sum , median, mode

Output: {“answer”: 8}

from flask import Flask, jsonify, request
from statistics import mean, median, modeapp = Flask(__name__)@app.route("/calculate", methods=['POST'])def calculate():
    data = request.get_json()function = data['operation'].lower()
    list_vals = data['operands']if function == 'sum':
        return jsonify({"answer":sum(list_vals)})elif ((function == 'average') | (function == 'avg') | (function == 'mean')):
        return jsonify({"answer":mean(list_vals)})elif (function == 'median'):
        return jsonify({"answer":median(list_vals)})elif (function == 'mode'):
        return jsonify({"answer":mode(list_vals)})
    
    else:
        return "Operation not available"if __name__ == "__main__":
    app.run(debug=True)

Testing it in Postman:

Ensure that you have selected “Content-type” as “application/json”, else you will keep getting the following error: “Content-Type was not ‘application/json’”

The input request and output are displayed in Postman screenshot below.

Due to some error, the latest files were not being pulled in the git local folder. Steps that helped:

git reset --hard head
git clean -xffd
 (this detaches the head)git checkout master
pull pull

Thats it! The head is attached again!

Q1: Write a query to reverse a number in python

n= 3648
m = 0
while n!=0:
    m = m*10 + n%10
    print(m)
    n = n//10
    print(n)

Q2: Check if two strings are palindrome

s1 = "madam"if(s1 == s1[::-1]):
    print ("This is a palindrome")
else:
    print ("not palindrome")

Q3: Email Slicer

Option 1:

email = input("enter your email: " ).strip()username = email.split('@')[0]
domain_name = email.split('@')[1]print("Username: " ,username, "\nDomain_name: ",domain_name)

Option 2:

email = input("enter your email: " ).strip()username = email[:email.index('@')]
domain_name = email[email.index('@')+1:]print("Username: " ,username, "\nDomain_name: ",domain_name)

Working on Time Series model and noticed that due to covid impact, the trend is incorrectly going negative.

Option to mitigate it:

1. Dump 2020 data and start forecasting from 2021 data only. It can be a short term solution.
2. Add a adjusting factor to adjust page views in 2019. Make sure that covid impact is mitigated
3. Create synthetic data for 2020.

Will provide more details once I start working on solution