🐍 30-Day Python for DevOps - Learning Tracker

Welcome to the Fail-Proof, Hands-On Python Learning Plan for DevOps Engineers! This repo is designed to help you build real-world automation skills in Python, step by step.

⏱️ Avg Time: 30 mins/day | 📍 Format: Concept → Code → Real Use | 💻 Focus: DevOps, Infra, Automation

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📅 Weekly Breakdown

✅ Week 1: Python Scripting Fundamentals

Day	Topic	Concepts	Mini Project/Script
1	Setup & Print	Python install, VS Code, print()	Hello Python DevOps Script
2	Variables	str, int, bool, list	Server inventory with metadata
3	Input + f-strings	input(), f"..."	Ask server name, print status
4	Conditions	if/elif/else	Health checker logic
5	Loops	for, while	Service restart loop
6	Functions	def, return	Wrap logic into check_status()
7	Modules	os, sys	File Checker Module

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✅ Week 2: Files, Shell, Configs

Day	Topic	Concepts	Mini Project/Script
8	Read Files	open(), read()	Read server list from file
9	Write/Append	'w', 'a'	Write output to log file
10	CLI Args	sys.argv	Pass input/output file to script
11	Exceptions	try/except	Handle missing files
12	Shell Commands	subprocess.run()	Run ping, kubectl
13	JSON Configs	json.load()	Read config.json
14	YAML Parsing	pyyaml, configparser	Parse NGINX config

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✅ Week 3: Automation & Mini Workflows

Day	Topic	Concepts	Mini Project/Script
15	System Monitor	psutil	Alert on CPU > 80%
16	File Backup	shutil, os.path	Backup config with timestamp
17	Email Alert	smtplib	Email on disk full
18	API Calls	requests.get()	Get GitHub user data
19	Git Automate	subprocess	Git pull & log checker
20	HTTP Server	http.server	Serve local log files
21	Env Vars	os.environ	Load credentials securely

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✅ Week 4: Combine & Apply

Day	Topic	Concepts	Mini Project/Script
22	Errors Deep Dive	Custom exceptions	Retry on connection fail
23	Dictionaries	dict, loops	Server metadata handler
24	OOP Basics	class, __init__	Server class abstraction
25	External Libs	pip install, tabulate	Pretty report
26	SDKs & Cloud	azure, boto3	List Azure/AWS resources
27	CI/CD Scripts	GitHub/Jenkins logic	Version bump, tag script
28	Logging	logging	Replace print in scripts
29	Templating	jinja2	Generate config from template
30	Review & Reflect	Git cleanup, README	Final commit, push to GitHub

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🚀 Quick Start

1. Clone the Repository

   git clone https://github.com/yourusername/python-30days.git
   cd python-30days

2. Set Up Environment

   python -m venv venv
   .\venv\Scripts\Activate.ps1
   pip install -r requirements.txt

3. Start Learning!

   • Begin with Week 1, Day 1
   • Complete daily challenges
   • Track your progress
   • Share your solutions

📚 Course Structure

Week 1: Python Fundamentals & System Operations

• Day 1: Hello DevOps - Your First Automation Script
• Day 2: Server Inventory Management
• Day 3: Interactive Status Checker
• Day 4: Health Monitoring System
• Day 5: Service Management
• Day 6: Status Check Functions
• Day 7: File Operations & Logging

Week 2: Error Handling & API Integration

• Day 8-9: Robust Error Handling & Logging
• Day 10-11: Configuration Management
• Day 12: Log Analysis with Regex
• Day 13: Unit Testing Your Code
• Day 14: REST API Integration

Week 3: Databases & Task Automation

• Day 15: Database Operations
• Day 16: Parallel Processing
• Day 17: SSH Operations
• Day 18: Alert System
• Day 19: Web Dashboard
• Day 20: Data Visualization
• Day 21: Task Scheduler

Week 4: Cloud & Containers

• Day 22: Docker Management
• Day 23: AWS Automation
• Day 24: Kubernetes Operations
• Day 25: CI/CD Pipeline
• Day 26: Monitoring Integration
• Day 27: Security Automation
• Day 28-30: Final Project

🛠️ Technologies Covered

• Languages: Python 3.8+
• Cloud: AWS, Docker, Kubernetes
• Databases: SQLite, PostgreSQL
• Tools: Git, CI/CD, Monitoring
• Libraries: boto3, paramiko, flask

🌟 Features

• 📝 Detailed explanations
• 💻 Practical examples
• 🔄 Progressive difficulty
• 🎯 Clear learning goals
• 📊 Real-world projects

🏆 Learning Path

1. Foundation (Week 1)

   • Python basics for automation
   • System operations
   • File handling

2. Building Blocks (Week 2)

   • Error handling
   • Testing
   • API integration

3. Advanced Topics (Week 3)

   • Database management
   • Web development
   • Task automation

4. Professional Skills (Week 4)

   • Cloud integration
   • Container orchestration
   • Security automation

🤝 Contributing

Your contributions are welcome! Please read our Contributing Guidelines to get started.

1. Fork the repository
2. Create your feature branch
3. Commit your changes
4. Push to the branch
5. Open a Pull Request

📖 Resources

• Python Documentation
• DevOps Best Practices
• AWS Documentation
• Docker Documentation
• Kubernetes Documentation

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🧠 Logic Building Tips

• Use pen & paper to draw flowcharts for any script
• Use print() or logging.debug() for step-by-step tracing
• Write assert statements to test your logic early

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📁 Folder Structure Example

python-for-devops-30day/
├── week1/
│   ├── day1_hello.py
│   ├── day2_variables.py
│   └── ...
├── week2/
├── week3/
├── week4/
├── config/
│   ├── config.json
│   └── config.yaml
├── logs/
├── README.md

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📦 Final Projects

• 🔍 Log File Parser (Regex, File I/O)
• 🔔 Health Monitor + Email (System monitor + Alert)
• ⚙️ Auto Config Generator (Template engine)
• 🚀 DevOps Toolbox CLI (OOP + CLI args + subprocess)

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🔗 Getting Started

1. Clone the repository and create a Python virtual environment
2. Install required packages: pip install -r requirements.txt
3. Start with Week 1, Day 1 and progress through each day
4. Complete the challenges and exercises
5. Use the hints and documentation when needed

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🚀 Python for DevOps: 30-Day Learning Adventure

Master Python for DevOps through hands-on projects! This practical, project-based course takes you from basics to advanced DevOps automation in 30 days.

🎯 What You'll Learn

• Week 1: Python Fundamentals & System Operations
• Week 2: Advanced Error Handling & API Integration
• Week 3: Database Operations & Task Automation
• Week 4: Cloud & Container Orchestration

💡 Why This Course?

• 🔨 Practical Projects: Real-world automation tasks
• 🎓 Progressive Learning: From basics to advanced
• 🛠️ Modern Tools: Docker, Kubernetes, AWS, and more
• 👥 Community Driven: Share and learn together

Week 1: Basic Python and System Operations

Day 1: Hello DevOps

• Challenge: Create a simple Python script that prints "Hello DevOps" and the current time
• Skills: Basic Python syntax, importing modules (time module)
• File: week1/day1_hello_devops.py

Day 2: Server Inventory Reader

• Challenge: Read and display server inventory from a JSON file
• Skills: JSON handling, file operations, data structures
• File: week1/day2_server_inventory.py
• Hint: Use the json module to parse the inventory file

Day 3: Interactive Server Status

• Challenge: Allow users to input server names and display their details
• Skills: User input handling, string manipulation, conditional statements
• File: week1/day3_input_status.py
• Hint: Use .split() for handling comma-separated input

Day 4: Server Health Checker

• Challenge: Create a script to check server health status
• Skills: Boolean operations, dictionaries, error handling
• File: week1/day4_health_checker.py

Day 5: Service Monitor

• Challenge: Monitor multiple services running on servers
• Skills: Loops, lists, conditional statements
• File: week1/day5_service_loops.py

Day 6: Status Check Function

• Challenge: Create reusable functions for checking server status
• Skills: Functions, parameters, return values
• File: week1/day6_check_status_function.py

Day 7: File Operations

• Challenge: Work with system files and perform basic operations
• Skills: File handling, path operations, error handling
• File: week1/day7_file_checker.py

Week 2: Intermediate Python for DevOps

Day 8: Error Handling

• Challenge: Implement proper error handling in server operations
• Skills: Try-except blocks, raising exceptions
• File: week2/day8_error_handling.py

Day 9: Logging Implementation

• Challenge: Add logging to server monitoring scripts
• Skills: Python logging module, file handlers
• File: week2/day9_logging_impl.py

Day 10: Configuration Management

• Challenge: Create a configuration management system
• Skills: ConfigParser, YAML handling
• File: week2/day10_config_management.py

Day 11: Command Line Arguments

• Challenge: Add CLI arguments to your scripts
• Skills: argparse module, command line interfaces
• File: week2/day11_cli_arguments.py

Day 12: Regular Expressions

• Challenge: Use regex for log parsing
• Skills: re module, pattern matching
• File: week2/day12_regex_parser.py

Day 13: Unit Testing

• Challenge: Write tests for your server monitoring functions
• Skills: unittest module, assertions
• File: week2/day13_unit_testing.py

Day 14: Working with APIs

• Challenge: Interact with a REST API
• Skills: requests module, HTTP methods
• File: week2/day14_api_interaction.py

Week 3: Advanced Python for DevOps

Day 15: Database Operations

• Challenge: Store server data in a SQLite database
• Skills: SQL, sqlite3 module
• File: week3/day15_database_ops.py

Day 16: Parallel Processing

• Challenge: Implement parallel server checks
• Skills: multiprocessing, threading
• File: week3/day16_parallel_proc.py

Day 17: SSH Operations

• Challenge: Execute commands over SSH
• Skills: paramiko module, SSH protocol
• File: week3/day17_ssh_operations.py

Day 18: Email Notifications

• Challenge: Send email alerts for server status
• Skills: smtplib, email formatting
• File: week3/day18_email_notifications.py

Day 19: Web Dashboard

• Challenge: Create a simple web dashboard for server status
• Skills: Flask framework, basic HTML
• File: week3/day19_web_dashboard.py

Day 20: Data Visualization

• Challenge: Create graphs of server metrics
• Skills: matplotlib, data visualization
• File: week3/day20_data_visualization.py

Day 21: Scheduled Tasks

• Challenge: Schedule periodic server checks
• Skills: schedule module, cron-like operations
• File: week3/day21_scheduled_tasks.py

Week 4: DevOps Integration Projects

Day 22: Docker Integration

• Challenge: Create Docker container management scripts
• Skills: Docker SDK for Python
• File: week4/day22_docker_integration.py

Day 23: AWS Integration

• Challenge: Work with AWS services using boto3
• Skills: boto3, AWS SDK
• File: week4/day23_aws_integration.py

Day 24: Kubernetes Integration

• Challenge: Manage Kubernetes resources
• Skills: kubernetes-client
• File: week4/day24_kubernetes_integration.py

Day 25: CI/CD Pipeline Script

• Challenge: Create a script for CI/CD pipeline tasks
• Skills: Git integration, pipeline automation
• File: week4/day25_cicd_pipeline.py

Day 26: Monitoring Integration

• Challenge: Integrate with monitoring systems
• Skills: Prometheus, Grafana APIs
• File: week4/day26_monitoring_integration.py

Day 27: Security Scanning

• Challenge: Implement security scanning scripts
• Skills: Security tools integration
• File: week4/day27_security_scanning.py

Day 28-30: Final Project

• Challenge: Build a complete DevOps automation tool
• Skills: All previous concepts combined
• Files:
  • week4/day28_final_project_part1.py
  • week4/day29_final_project_part2.py
  • week4/day30_final_project_part3.py

Getting Started

1. Clone this repository
2. Create a Python virtual environment
3. Install required packages: pip install -r requirements.txt
4. Complete each day's challenge
5. Check the hints and documentation when needed

Notes

• Each script builds upon skills learned in previous days
• Focus on writing clean, well-documented code
• Test your scripts thoroughly
• Use proper error handling
• Follow Python best practices

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📈 Project Roadmap

• Basic Python automation
• System operations
• Error handling
• API integration
• Database operations
• Cloud automation
• Mobile app integration
• AI/ML integration

📝 Additional Resources

Need help? Check out:

• FAQ.md for common questions
• TROUBLESHOOTING.md for technical issues
• CONTRIBUTING.md for contribution guidelines

📚 References

• Python Documentation
• DevOps Best Practices
• AWS Documentation
• Docker Documentation
• Kubernetes Documentation