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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

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