About Python

DevOps automation, scripting, REST APIs, Boto3 AWS SDK & system administration.

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Architecture & Workflow

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Key Benefits for Modern DevOps

• Automation: Eliminates repetitive manual procedures through codified configuration.
• Reliability & Consistency: Reduces configuration drift across development, staging, and production environments.
• High Observability: Provides deep telemetry into application and infrastructure health.

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Complete Curriculum Roadmap

This comprehensive handbook covers the entire Python engineering lifecycle across 14 structured modules:

Module 1: Introduction to Python for DevOps

• Why Python for DevOps: Why Python For Devops, Python Vs Bash Vs Go, Python Use Cases In Devops, Python In Devops Ecosystem
• Python Basics Recap: Python Versions, Installing Python, Python Interpreter, Virtual Environments, Pip Package Manager, Python Project Structure

→ Explore Introduction to Python for DevOps

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Module 2: Python Fundamentals

• Data Types and Variables: Variables And Assignment, Strings, Numbers, Booleans, None Type, Type Conversion
• Data Structures: Lists, Tuples, Dictionaries, Sets, List Comprehensions, Dict Comprehensions, Nested Data Structures
• Control Flow: If Elif Else, For Loops, While Loops, Break Continue Pass, Match Statement
• Functions: Defining Functions, Function Arguments, Args And Kwargs, Return Values, Lambda Functions, Decorators, Generators
• Modules and Packages: Importing Modules, Standard Library Overview, Creating Modules, Creating Packages, Third Party Packages
• Error Handling: Exceptions Overview, Try Except Finally, Raising Exceptions, Custom Exceptions, Error Handling Best Practices
• File Operations: Reading Files, Writing Files, File Modes, Context Managers, Working With Paths, Pathlib Module

→ Explore Python Fundamentals

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Module 3: Working with Data Formats

• JSON: Json Overview, Reading Json, Writing Json, Json In Api Responses, Json Best Practices
• YAML: Yaml Overview, Pyyaml Library, Reading Yaml, Writing Yaml, Yaml In Devops, Ruamel Yaml
• XML and CSV: Xml Parsing, Xml With Elementtree, Csv Reading, Csv Writing, Csv With Dictreader
• TOML and INI: Toml Overview, Reading Toml, Ini Files, Configparser Module, Config Management Patterns

→ Explore Working with Data Formats

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Module 4: OS and System Automation

• OS Module: Os Module Overview, Working With Directories, Environment Variables, Os Path Operations, File And Dir Operations
• Subprocess Module: Subprocess Overview, Running Commands, Capturing Output, Error Handling In Subprocess, Subprocess Vs Os System, Running Shell Scripts
• Shutil Module: Shutil Overview, Copying Files, Moving Files, Removing Directories, Disk Usage, Archiving With Shutil
• System Information: Platform Module, Sys Module, Psutil Library, Cpu Monitoring With Python, Memory Monitoring With Python, Disk Monitoring With Python, Process Management With Python

→ Explore OS and System Automation

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Module 5: Networking with Python

• Network Basics: Socket Module, Tcp Server Client, Udp Communication, Port Scanning, Dns Resolution
• HTTP with Python: Urllib Module, Requests Library, Making Get Requests, Making Post Requests, Handling Responses, Authentication In Requests, Session Management, Timeouts And Retries
• REST APIs: What Are Rest Apis, Consuming Rest Apis, Api Authentication, Pagination Handling, Rate Limiting, Building Simple Api Client
• SSH with Python: Paramiko Overview, Ssh Connection With Paramiko, Running Remote Commands, Sftp With Paramiko, Fabric Library, Remote Automation Patterns

→ Explore Networking with Python

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Module 6: AWS Automation with Python

• Boto3 Basics: What Is Boto3, Installing Boto3, Boto3 Configuration, Clients Vs Resources, Sessions In Boto3, Error Handling In Boto3
• EC2 Automation: Listing Instances, Launching Instances, Stopping Starting Instances, Terminating Instances, Managing Security Groups, Key Pair Management, Ami Operations
• S3 Automation: Listing Buckets, Creating Buckets, Uploading Files, Downloading Files, Managing Bucket Policies, S3 Lifecycle Automation, S3 Event Processing
• IAM Automation: Listing Users Roles, Creating Iam Users, Managing Policies, Assuming Roles, Access Key Rotation
• Other AWS Services: Rds Automation, Lambda Automation, Cloudwatch Automation, Route53 Automation, Sns Sqs Automation, Eks Automation

→ Explore AWS Automation with Python

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Module 7: Docker Automation with Python

• Docker SDK for Python: Docker Sdk Overview, Installing Docker Sdk, Connecting To Docker, Docker Client Configuration
• Container Management: Listing Containers, Running Containers, Stopping Containers, Removing Containers, Container Logs, Executing Commands
• Image Management: Listing Images, Pulling Images, Building Images, Pushing Images, Removing Images, Image Tagging
• Docker Compose with Python: Docker Compose Python, Starting Compose Services, Stopping Compose Services, Automating Compose Workflows

→ Explore Docker Automation with Python

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Module 8: Kubernetes Automation with Python

• Kubernetes Python Client: Kubernetes Client Overview, Installing Kubernetes Client, Configuring Client, In Cluster Vs Out Cluster
• Managing Kubernetes Resources: Listing Pods, Creating Deployments, Scaling Deployments, Managing Services, Managing Configmaps, Managing Secrets
• Kubernetes Automation Patterns: Watching Resources, Custom Controllers, Kubernetes Operator Basics, Health Checking Clusters, Automating Rollouts

→ Explore Kubernetes Automation with Python

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Module 9: CI CD Automation with Python

• Git Automation: Gitpython Overview, Cloning Repositories, Committing Changes, Branch Management, Pull Request Automation, Git Hooks With Python
• GitHub API with Python: Github Api Overview, Pygithub Library, Managing Repositories, Managing Pull Requests, Managing Issues, Github Webhooks, Github Actions With Python
• Jenkins Automation: Jenkins Api Overview, Python Jenkins Library, Triggering Builds, Getting Build Status, Managing Jobs, Jenkins Webhooks Python
• Pipeline Scripting: Pipeline Automation Patterns, Notification Automation, Artifact Management, Deployment Automation, Rollback Automation

→ Explore CI CD Automation with Python

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Module 10: Monitoring and Logging with Python

• Logging in Python: Logging Module Overview, Log Levels, Log Handlers, Log Formatters, Logging To File, Rotating Log Files, Structured Logging, Logging Best Practices
• Metrics with Python: Prometheus Client Python, Exposing Metrics, Custom Counters, Custom Gauges, Custom Histograms, Pushing To Pushgateway
• Alerting and Notifications: Sending Slack Alerts, Sending Email Alerts, Pagerduty Integration, Teams Notifications, Building Alert Manager
• Log Analysis: Parsing Log Files, Log Aggregation, Regex For Log Parsing, Analyzing Nginx Logs, Analyzing Application Logs, Sending Logs To Elasticsearch

→ Explore Monitoring and Logging with Python

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Module 11: Infrastructure as Code with Python

• Python with Terraform: Running Terraform From Python, Parsing Terraform Output, Terraform Automation Scripts, Python Tfvars Generation
• Python with Ansible: Running Ansible From Python, Ansible Runner Library, Dynamic Inventory With Python, Ansible Automation Patterns
• Pulumi with Python: Pulumi Python Overview, Writing Pulumi In Python, Pulumi Stack Management, Pulumi Vs Terraform Python

→ Explore Infrastructure as Code with Python

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Module 12: Security Automation with Python

• Secrets Management: Hashicorp Vault Python, Aws Secrets Manager Python, Environment Variables Security, Python Keyring, Secrets Rotation Automation
• Security Scanning: Bandit Security Scanner, Safety Dependency Scanner, Scanning Docker Images, Vulnerability Reporting, Security Automation Pipeline
• Cryptography with Python: Cryptography Library, Hashing Data, Encryption Decryption, Generating Certificates, Jwt Handling

→ Explore Security Automation with Python

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Module 13: Testing for DevOps with Python

• Python Testing Basics: Why Test Devops Scripts, Unittest Module, Pytest Overview, Test Structure, Assertions
• Testing DevOps Code: Mocking Aws With Moto, Mocking Http Requests, Testing Subprocess Calls, Testing File Operations, Fixtures In Pytest
• Infrastructure Testing: Testing Ansible With Molecule, Testing Terraform With Python, Integration Testing, End To End Testing, Test Coverage

→ Explore Testing for DevOps with Python

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Module 14: Python Scripting Best Practices

• Code Quality: Pep8 Style Guide, Black Formatter, Flake8 Linter, Pylint Overview, Type Hints, Mypy Type Checking
• Script Design: Argument Parsing Argparse, Click Library, Configuration Management, Idempotent Scripts, Script Documentation, Dry Principles
• Performance and Optimization: Profiling Python Code, Concurrency Overview, Threading Module, Multiprocessing Module, Asyncio Basics, Async For Devops
• Production Best Practices: Dependency Management, Packaging Scripts, Docker For Python Scripts, Environment Management, Version Control For Scripts, Python Devops Project Structure, Production Checklist

→ Explore Python Scripting Best Practices