Python Zero to Hero for DevOps Engineers

Day 1: Introduction to Python, Installation, and Configuration

• Introduction to Python and its role in DevOps.
• Installing Python and setting up a development environment.
• Writing your first Python program.

Day 2: Intro to Datatypes, Working with Strings and Numbers

• String data type in Python.
• String manipulation and formatting.
• Regular expressions for text processing.
• Numeric data types in Python (int, float).

Day 3: Keywords and Variables

• Understanding variables in Python.
• Variable scope and lifetime.
• Variable naming conventions and best practices.
• Practice exercises and examples:
• Example: Using variables to store and manipulate configuration data in a DevOps context.

Day 4: Functions, Modules and Packages

• What are differences between function, modules and packages ?
• How to import a package ?
• What are Python workspaces ?

Day 5: Environment Variables and Command Line Arguments

• Reading and writing environment variables in Python.
• Using the os and dotenv modules.
• Securing sensitive information in environment variables.
• Handling command line arguments in Python.
• Practice exercises and examples:
• Example: Developing a Python script that accepts command line arguments to customize DevOps automation tasks.

Day 6: Operators

• Introduction to operators in Python.
• Arithmetic, comparison, and logical operators.
• Bitwise and assignment operators.
• Practice exercises and examples:
• Example: Using operators to perform calculations and comparisons in a DevOps script.

Day 7: Conditional Handling using if, elif and else

• Conditional statements (if, elif, else).
• Practice exercises and examples:

Day 8: Working with Lists (Part 1)

• Understanding lists and list data structure.
• List manipulation and common list operations.
• Practice exercises and examples:
• Example: Writing a script to manage a list of user accounts in a DevOps environment.

Day 9: Loops

• Loops in Python (for and while).
• Loop control statements (break, continue).
• Practice exercises and examples:
• Example: Automating a log file analysis with a loop to find errors.

Day 10: Working with Lists (Part 2)

• List comprehensions.
• Nested lists and advanced list operations.
• Practice exercises and examples:
• Example: Print list of files in the list of folders provided

Day 11: Working with Dictionaries and Sets (Project-1)

• Dictionaries and key-value pairs.
• Sets and set operations.
• Practice exercises and examples:
• Example: Managing a dictionary of server configurations and optimizing retrieval.

Day 12: Python Tasks for DevOps (Part 1) - File Operations (Project-2)

• Introduction to File Operations and Boto3.
• Automating File operations.
• Practice exercises and examples:
• Example: Update a server resources in the server.conf file up on external notification.

Day 13: Python Tasks for DevOps (Part 2) (Project-3)

• Using Fabric for remote task automation.
• AWS automation with Boto3.
• Managing EC2 instances, S3 buckets, and more.
• Practice exercises and examples:
• Example: Creating a aws script for deploying applications to remote servers.

Day 14: Github-JIRA intergration Project - (Project-4)

• Introduction to RESTful APIs.
• Making HTTP requests using Python.
• Parsing JSON responses and error handling.
• Practice exercises and examples:
• Example: Write a Python API which listens on a github comment and creates a ticket in JIRA.

Day 15: Github-JIRA intergration Project - (Project-4) - (Part-2)

• Introduction to Flask.
• Write your first API in python.
• How to handle API calls and deploy your API to a server.
• Practice exercises and examples:
• Example: Write a Python API which listens on a github comment and creates a ticket in JIRA.

Day 16: Python Interview Questions & Answers

• Beginner and intermediate Level

Day 17: Python Interview Questions & Answers

• Advanced Level