Welcome to the Python for DevOps learning repository!
This folder provides a complete learning path from Python fundamentals to advanced scripting and automation used in DevOps, CI/CD, and cloud environments.

Python is a powerful, easy-to-learn programming language widely used in DevOps for:

• Writing automation scripts
• Managing servers and configurations
• Integrating CI/CD pipelines
• Interacting with cloud platforms (AWS, Azure, GCP)
• Infrastructure as Code (IaC)
• Monitoring and logging

This syllabus covers everything you need — from basic syntax to advanced DevOps applications.

• Introduction to Python
• Installing Python & setting up environment (VS Code, PyCharm)
• Python syntax and indentation
• Variables and constants
• Data types: int, float, string, bool
• Type conversion and casting
• Basic input and output
• Comments and documentation

• if, elif, else statements
• Nested conditions
• for and while loops
• break, continue, pass statements
• Loop with else
• Use cases in automation (e.g., log parsing, conditional deployments)

• Lists, tuples, sets, and dictionaries
• Indexing and slicing
• List comprehensions and dictionary comprehensions
• Iteration with enumerate() and zip()
• Practical examples for DevOps (parsing JSON, config files, etc.)

• Defining and calling functions
• Function arguments (positional, keyword, default, variable-length)
• Return values
• Anonymous (lambda) functions
• Scope and lifetime of variables
• Recursion
• Best practices in modular scripting

• Creating and importing modules
• Built-in modules (os, sys, datetime, platform)
• The pip package manager
• Virtual environments (venv, pipenv)
• Using third-party libraries in DevOps (e.g., boto3, paramiko)

• Reading and writing text, CSV, JSON files
• Working with configuration files (.ini, .yaml, .json)
• Automating log file reading
• File handling in CI/CD or server scripts

• Understanding errors and exceptions
• try, except, finally, else blocks
• Raising exceptions
• Custom exceptions
• Logging exceptions for automation reliability

• Classes and objects
• Constructors (__init__)
• Instance vs class variables
• Inheritance, encapsulation, and polymorphism
• Method overriding
• OOP in automation and tool development

• Iterators and generators
• Decorators and context managers
• Regular expressions (re module)
• Multithreading and multiprocessing
• Command-line arguments with argparse
• Working with environment variables
• Time and scheduling automation scripts

• Introduction to REST APIs
• Using requests module
• Consuming JSON APIs
• Automating REST API calls (Jenkins, AWS, Kubernetes APIs)
• Socket programming basics

• Writing Python scripts for:
  • AWS automation using boto3
  • File transfer using paramiko (SSH, SFTP)
  • Docker automation using docker SDK
  • Kubernetes automation using kubernetes client library
  • CI/CD integration (GitLab/Jenkins Python scripts)
  • Monitoring and alerting automation
• Using Python with Ansible and Terraform

• Connecting to databases (MySQL, PostgreSQL, SQLite)
• Executing CRUD operations
• Reading data for reporting or automation

• Python logging module
• Logging levels and configuration
• Writing logs to files
• Debugging with pdb and IDE debuggers

• Unit testing with unittest and pytest
• Mocking and fixtures
• Integrating Python tests in Jenkins/GitLab pipelines
• Code quality with flake8, black, and mypy

• ✅ Automate AWS EC2 instance start/stop using boto3
• ✅ Log file analyzer script
• ✅ Automated backup using Python
• ✅ CI/CD pipeline trigger via Python script
• ✅ Docker image cleaner automation
• ✅ Kubernetes pod status checker
• ✅ Server health monitoring tool