MishraKhushbu

from bottle import *
import os
import File_Folder_Flask

# Server startup message
@route("/", methods=['POST', 'GET'])
def home():
    return (
        "Welcome! To the homepage")

MishraKhushbu

In this project I am showing CPS alarm and resync feature.

https://www.cisco.com/c/en/us/td/docs/wireless/quantum-policy-suite/R19-4-0/CPS19-4-0SNMPAlarmsandClearingProceduresGuide/CPS13-0-0SNMPAlarmsandClearingProceduresGuide_chapter_01.html

MishraKhushbu

Why Robot Framework??
It is for acceptance testing like when we know the functionality and to check. at that time it's automation can be done using this framwork.Minimal 
programming knowledge is required. It's keyword driven means functions are akready written only arguments needs to be given.
It's clean code which means different sections for each type
for e.g
*****Settings****
*****Test Cases****
*****Keywords******

MishraKhushbu

Dictionary Methods
Python has a set of built-in methods that you can use on dictionaries.

url : https://www.w3schools.com/python/python_dictionaries.asp

Method      Description
clear() ===>Removes all the elements from the dictionary e
copy() ====>Returns a copy of the dictionary
fromkeys()===>Returns a dictionary with the specified keys and values
get() ====>Returns the value of the specified key

MishraKhushbu

How to access doc string of of function.
Doc string for any function can be accessed using funvtion.__doc__
e.g
>>> def my_func():
...     """ i am happy and i only want to use doc string"""
...     sum = a+b
...     print(sum)
...
>>> my_func.__doc__

MishraKhushbu

import json

def json2xml(str_json):  # function to convert json to xml
	
	global my_str_startswith
	global my_str_endswith
	global mid_str_list
	
	for items in str_json:
		

MishraKhushbu

Multiprocessing Vs Multithreading :
  Multiprocessing is when the part of program can be executed by separated processes.
  
The cost of multiprocessing is really high.

MultiThreading:
  The main program is divided into sub threads.
  Here to decide the number of thread is a big challenge , taking more number of threads can deduce ur latency since
  thread concurrency has limit , after a limit it slows down the process.

MishraKhushbu

If you are using python 2, then you can add a comma after the print function like this:

for i in range(10):
    print i, # <- notice the comma at the end
will output:

0 1 2 3 4 5 6 7 8 9
In python 3, print is now a function and will take an argument, called end like this:

print(i, end = " ")

MishraKhushbu

JSON - Python has a JSON module that will help converting the datastructures to JSON strings. 
Use the import function to import the JSON module.
import json
student = {"101":{"class":'V', "Name":'Rohit',  "Roll_no":7},
           "102":{"class":'V', "Name":'David',  "Roll_no":8},
           "103":{"class":'V', "Name":'Samiya', "Roll_no":12}}
print(json.dumps(student));
Output:
{"103": {"class": "V", "Name": "Samiya", "Roll_no": 12}, 
"102": {"class": "V", "Name": "David", "Roll_no": 8}, 

MishraKhushbu

https://www.youtube.com/watch?v=4ht22ReBjno
https://www.youtube.com/watch?v=TvnZTi_gaNc
https://www.youtube.com/watch?v=lcQfQRDAMpQ