❄Reading JSON and YAML in Python

• As a DevOps Engineer, you should be able to parse files, be it txt, json, yaml, etc.

• You should know what all libraries one should use in Python for DevOps.

• Python has numerous libraries like os, sys, json, yaml, etc that a DevOps Engineer uses in day-to-day tasks.

❄Python Libraries :

A Python library is a collection of related modules. It contains bundles of code that can be used repeatedly in different programs. It makes Python Programming simpler and convenient for the programmer. As we don’t need to write the same code again and again for different programs.

Some Python Libraries are as follows -

1. numpy : Provides numerical computing capabilities, including arrays, linear algebra, Fourier transforms, and more.

2. pandas : Offers data manipulation and analysis tools, providing data structures like DataFrames for efficient data handling.

3. matplotlib : A popular data visualization library for creating charts, plots, and graphs.

4. scikit-learn : A machine learning library that provides tools for classification, regression, clustering, and more.

5. tensorflow and pytorch : Deep learning frameworks that enable building and training neural networks for tasks like image recognition and natural language processing.

6. flask and Django: Web development frameworks used to build scalable and dynamic web applications.

7. sqlalchemy : A powerful and flexible ORM (Object-Relational Mapping) library for working with databases.

8. pytest and unittest : Testing frameworks for writing and executing unit tests to ensure code quality and functionality.

9. requests : A library for making HTTP requests, used for interacting with web APIs.

10. beautifulsoup and scrapy : Libraries for web scraping and extracting data from HTML and XML documents.

Also, As a DevOps Engineer, you are correct that being able to parse various file formats, such as JSON and YAML, is an important skill. Python provides several libraries that can be used to handle these file formats. Let’s take a look at how to read JSON and YAML files in Python.

❄Difference Between json.dump() and json.load()

json.dump() is used to convert a Python object into a JSON string and write it to a file.

json.load() is used to read a JSON string from a file and convert it back into a Python object.

❄Tasks:-

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

json.dumps() : It is used to convert a dictionary to JSON string.

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

Ex :- Reading JSON in Python: To read JSON files in Python, you can use the built-in json module. Here's an example of how to read a JSON file:

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-->> json.load(): json.load() accepts file object, parses the JSON data, populates a Python dictionary with the data, and returns it back to you.

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

Reading YAML in Python: To read YAML files in Python, you can use the pyyaml library. You can install it using pip install pyyaml. Here's an example of how to read a YAML file :-

Additional Libraries for DevOps Tasks: In addition to json and pyyaml, there are several other Python libraries commonly used by DevOps Engineers. Some of these libraries include:

• os: Used for interacting with the operating system, such as working with files, directories, and environment variables.

• sys: Provides access to system-specific parameters and functions, allowing you to manipulate the Python runtime environment.

• paramiko: A library for SSH protocol implementation, allowing you to securely connect to remote servers and execute commands.

• requests: Used for making HTTP requests, making it useful for interacting with web APIs and services.

• docker: A library for interacting with Docker, enabling you to manage Docker containers and images programmatically.

• ansible: A powerful automation tool for configuration management, deployment, and orchestration.

• terraform: A library for interacting with Terraform, a tool for infrastructure provisioning and management.