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: 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: 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:
  • Example: Automating a server shutdown if it's running out of disk space.

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: Parsing a complex configuration file with nested lists.

Day 11: Working with Dictionaries and Sets

• 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: Functions and Modules

• Introduction to functions in Python.
• Writing functions and function parameters.
• Return values and modular code.
• Practice exercises and examples:
  • Example: Creating a function to automate server status checks.

Day 13: Functions and Modules (Part 2)

• Advanced function topics (recursion, lambda functions).
• Function libraries and built-in functions.
• Practice exercises and examples:
  • Example: Developing a library of custom functions for DevOps automation.

Day 14: Python Libraries for DevOps (Part 1)

• Introduction to external libraries like Paramiko, Fabric, and Boto3.
• Automating SSH connections with Paramiko.
• Running commands on remote servers.
• Practice exercises and examples:
  • Example: Using Paramiko to create a secure remote backup solution.

Day 15: Python Libraries for DevOps (Part 2)

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

Day 16: Working with RESTful APIs

• Introduction to RESTful APIs.
• Making HTTP requests using Python.
• Parsing JSON responses and error handling.
• Practice exercises and examples:
  • Example: Developing a script to monitor RESTful API endpoints for your DevOps tools.

Day 17: Data Serialization and Configuration Files

• Serializing and deserializing data (JSON, YAML).
• Managing configuration data.
• DevOps use cases for configuration files.
• Practice exercises and examples:
  • Example: Building a configuration manager to handle application settings in JSON format.

Day 18: Automation with Cron Jobs

• Scheduling automated tasks using cron.
• Creating Python scripts for scheduled automation.
• Handling periodic tasks and reports.
• Practice exercises and examples:
  • Example: Using cron and Python to schedule regular backups of your data.

Day 19: Python Interview Questions & Answers