100-Days-of-Code-The-Complete-Python-Pro-Bootcamp

---

Udemy Course by Angela Yu

Sources:

• Webiste Link:
• Udemy: 100 Days of Code The Complate Python Pro Bootcamp

Other Subscribers Repo

1. https://github.com/fjpolo/Udemy100DaysOfCodeTheCompletePyhtonProBootcamp

Recommended Roadmaps

Learning Python for DevOps involves a progression from basic concepts to more advanced topics. Here's a structured outline to guide your learning:

Basic Level

1. Python Fundamentals

• Syntax and structure
• Data types (strings, integers, lists, tuples, dictionaries)
• Control flow (if statements, loops)
• Functions and modules
• Basic I/O (reading and writing files)

2. Environment Setup

• Installing Python and using package managers (pip)
• Setting up virtual environments (venv, virtualenv)

3. Basic Scripting

• Writing simple scripts to automate tasks
• Understanding the command line interface

Intermediate Level

1. Data Handling

• Working with libraries like pandas for data manipulation
• Using json and csv modules for data interchange

2. APIs and Networking

• Making HTTP requests with requests
• Understanding RESTful APIs
• Basic socket programming

3. Error Handling and Testing

• Exception handling
• Writing tests with unittest or pytest
• Debugging techniques

4. Version Control

• Using Git for version control
• Understanding branching and merging

Advanced Level

1. Automation and Scripting

• Automating tasks with bash and Python scripts
• Scheduling tasks with cron jobs

2. Configuration Management Tools

• Learning tools like Ansible, Puppet, or Chef using Python
• Writing playbooks or manifests

3. Containerization and Orchestration

• Working with Docker (creating, managing, and orchestrating containers)
• Understanding Kubernetes basics and how to manage Python applications within containers

4. Cloud Services

• Using SDKs (like boto3 for AWS) to interact with cloud services
• Understanding cloud architecture and deployment strategies

5. Infrastructure as Code (IaC)

• Learning Terraform or similar tools
• Writing Python scripts to manage infrastructure

Additional Skills

1. Continuous Integration/Continuous Deployment (CI/CD)

• Setting up CI/CD pipelines using tools like Jenkins or GitHub Actions
• Integrating Python tests in CI/CD workflows

2. Monitoring and Logging

• Using Python for log analysis
• Working with monitoring tools and libraries (like Prometheus)

3. Security Best Practices

• Understanding secure coding practices
• Familiarity with tools for security scanning (e.g., Bandit)

By following this progression, you can build a solid foundation in Python tailored for DevOps practices, allowing you to automate tasks, manage infrastructure, and streamline workflows effectively.