Day 15 Task: Python Libraries for DevOps

JSON in Python

In Python, JSON (JavaScript Object Notation) is a popular data format used for exchanging data between a server and a web application, or between different systems. It provides a lightweight and human-readable way of representing structured data.

The json module in Python provides functions for working with JSON data. Here's a brief overview of how you can use JSON in Python.

Importing the json module: import json

Converting JSON to Python objects: The json module provides the json.loads() function to parse a JSON string

YAML in Python

YAML, a recursive acronym for “YAML Ain’t Markup Language,” is a human-readable data serialization language. It is often used for configuration files but also for data exchange. The most used Python YAML parser is PyYAML, a library that allows you to load, parse, and write YAML, much like Python’s JSON library helps you to work with JSON.

Tasks:

1. Create a Dictionary in Python and write it to a JSON File.

   

   1. Read a JSON file services.json kept in this folder and print the service names of every cloud service provider.

      output

      aws: ec2

      azure: VM

      gcp: compute engine

      

      

      1. Read YAML files using Python, file services. yaml and read the contents to convert yaml to json

         

         

         

         Day 15 task is completed!

         Happy learning!!!!