Python for SRE and DevOps Engineers

Table of Content

1. Python Introduction
2. Python Installation & various ways to run Python Programming
3. Python Language Fundamentals
4. Python Operators
5. Python Input and Output Statements
6. Python Flow Control part 1
7. Python Flow Control Part 2
8. Python Strings
9. Python Data structure-list
10. Python Data structure-Tuple
11. Python Data structure-Set
12. Python Data structure-Dictionary
13. Python Function
14. Python Modules
15. Python Packages
16. Python Exception Handling
17. Python Logging
18. Python Assertions
19. Python File Handling
20. Python OOPS
21. Python Project 1
22. Python Project 2
23. Python Project 3
24. Python Project 4
25. Python Project 5

Comments

[Jonathan Cole]

Python for SRE and DevOps Engineers

1. Python Introduction

• Overview of Python's role in DevOps and SRE
• Key benefits: automation, scripting, infrastructure management
• Why Python is preferred for DevOps/SRE tasks

2. Python Installation & Setup

• Installation on different operating systems
• Virtual environments (venv, virtualenv)
• Package managers (pip, conda)
• IDE selection (VSCode, PyCharm)

3. Python Language Fundamentals

• Variables and data types
• Comments and documentation
• PEP 8 style guide
• Basic syntax and indentation

4. Python Operators

• Arithmetic operators
• Comparison operators
• Logical operators
• Bitwise operators
• Identity and membership operators

5. Input/Output Operations

• Command-line arguments (argparse)
• Reading/writing to console
• Working with environment variables
• Configuration file handling (JSON, YAML)

6. Flow Control Part 1

• if/elif/else statements
• for loops
• while loops
• Loop control statements (break, continue)

7. Flow Control Part 2

• List comprehensions
• Generator expressions
• Context managers (with statement)
• Error handling patterns

8. String Operations

• String manipulation
• Regular expressions
• Text processing
• Template strings
• Unicode handling

9. Lists

• List operations and methods
• Sorting and searching
• List as stack/queue
• Common list patterns in DevOps

10. Tuples

• Immutable sequences
• Named tuples
• Tuple unpacking
• Use cases in configuration

11. Sets

• Set operations
• Mathematical set operations
• Efficient lookups
• Removing duplicates

12. Dictionaries

• Dictionary methods
• Nested dictionaries
• DefaultDict and OrderedDict
• Configuration management

13. Functions

• Function definition and arguments
• Lambda functions
• Decorators
• Generators and iterators
• Function documentation

14. Modules

• Module imports
• Creating modules
• Package structure
• Common DevOps modules (os, sys, subprocess)

15. Packages

• Creating packages
• Package distribution
• Requirements.txt
• Poetry and modern packaging

16. Exception Handling

• Try/except blocks
• Custom exceptions
• Exception hierarchy
• Best practices for error handling

17. Logging

• Logging levels
• Log formatting
• Log handlers
• Rotating logs
• Structured logging

18. Assertions

• Assert statements
• Debugging techniques
• Pre/post conditions
• Contract programming

19. File Handling

• File operations
• CSV/JSON processing
• Working with paths
• Temporary files
• File system operations

20. Object-Oriented Programming

• Classes and objects
• Inheritance
• Composition
• Design patterns for DevOps

Projects

Project 1: System Monitoring Script

• CPU/Memory monitoring
• Process management
• Alert generation
• Metrics collection

Project 2: Automated Deployment Tool

• Git integration
• Docker container management
• Configuration validation
• Deployment workflows

Project 3: Log Analysis Tool

• Log parsing
• Pattern matching
• Anomaly detection
• Report generation

Project 4: Infrastructure as Code

• AWS/Azure SDK usage
• Infrastructure provisioning
• Resource management
• State handling

Project 5: CI/CD Pipeline Automation

• Jenkins/GitHub Actions integration
• Build automation
• Test execution
• Deployment orchestration

Each section includes:

• Practical examples
• Best practices
• Common pitfalls
• Real-world applications
• Exercises and solutions

[Tim Halligan]

Great framework and looking forward to learning these topics!