Python Libraries for DevOps (Part-3)

Let's dive into Python libraries.

Reading JSON and YAML in Python

JSON and YAML formats are commonly used in configuration management, infrastructure as code, and other DevOps tasks. In Python, libraries (often referred to as modules or packages) are collections of pre-written code that provide functionality for specific tasks. Python has a rich ecosystem of libraries that cover a wide range of domains, from web development to data science.

Key Libraries for DevOps in Python

Python offers a versatile programming environment for DevOps, supported by a diverse range of libraries tailored for various tasks. Key libraries in the DevOps realm include:

1. os Module: The os module facilitates seamless interaction with the operating system, making it indispensable for DevOps activities such as file and directory manipulation.

2. sys Module: The sys module provides access to Python interpreter variables and functions, empowering users to control and customize Python runtime environments for optimal DevOps workflows.

3. json Library: The json library proves invaluable for handling JSON data, a widely adopted format in DevOps for tasks such as configuration management and data exchange.

4. yaml Library: With the yaml library, Python users can effortlessly work with YAML data, another prevalent format in the DevOps landscape, commonly utilized for configuration files

Tasks

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

   Solution- We have written Python script as below.

   

   After running the Python script, you will observe the creation of a JSON file in the current directory, with the data dictionary successfully written to it.

   

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

   Solution- We are using same JSON module to read the file and display the output.

   

3. Read YAML file using python, file and read the contents to convert yaml to json

   To read a YAML file using Python we need "pyyaml" library.

   you need to install the library using "pip install pyyaml"

4. 

   Now we have imported JSON and YAML modules to read the YAML file and convert it into JSON format and then we print the result.

   

   I hope this task aids in your understanding of how libraries function in Python and demonstrates how they can be utilized to work with various file formats.

Thanks,

Kishor Chavan